Triple
T18711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin alphabet |
E368
|
entity |
| Predicate | encodedIn |
P1444
|
FINISHED |
| Object |
Unicode
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
|
E3674
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Unicode | Statement: [Latin alphabet, encodedIn, Unicode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unicode Context triple: [Latin alphabet, encodedIn, Unicode]
-
A.
Kanji
Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
-
B.
Vietnamese alphabet
The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
-
C.
Latin alphabet
The Latin alphabet is the writing system originally used for Latin that has become the most widely adopted script in the world, forming the basis of many modern languages including English, Spanish, and French.
-
D.
NLS
NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
-
E.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unicode Triple: [Latin alphabet, encodedIn, Unicode]
Generated description
Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unicode Target entity description: Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
-
A.
Kanji
Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
-
B.
Vietnamese alphabet
The Vietnamese alphabet is a modern Latin-based writing system that uses additional diacritics to represent the tones and specific sounds of the Vietnamese language.
-
C.
Latin alphabet
The Latin alphabet is the writing system originally used for Latin that has become the most widely adopted script in the world, forming the basis of many modern languages including English, Spanish, and French.
-
D.
NLS
NLS (oN-Line System) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and collaborative editing.
-
E.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodedIn Context triple: [Latin alphabet, encodedIn, Unicode]
-
A.
codifiedIn
Indicates that something is formally recorded, defined, or established within a specific document, code, or legal/institutional text.
-
B.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
protectedIn
Indicates that one entity is safeguarded, preserved, or kept safe within the context, environment, or jurisdiction of another entity.
-
D.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
E.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a246cbca108190a92478df126d9bf8 |
completed | Feb. 28, 2026, 1:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e57e3fc8190a3ce561a4692115c |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24ede3374819089e7fae28c6c9d63 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fc8a2a881909e5ae2e03757fbec |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a2464f61648190ac690044be194972 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a246cb2904819085c13207565a1db2 |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.