Triple
T5570927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DUCET |
E146196
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object | Unicode Consortium technical committee |
E129854
|
NE FINISHED |
How this triple was built (2 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 Consortium technical committee | Statement: [DUCET, standardizedBy, Unicode Consortium technical committee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unicode Consortium technical committee Context triple: [DUCET, standardizedBy, Unicode Consortium technical committee]
-
A.
Unicode Technical Committee
chosen
The Unicode Technical Committee is the primary working group within the Unicode Consortium responsible for developing and maintaining the Unicode Standard and related character encoding specifications.
-
B.
Unicode Consortium
The Unicode Consortium is a non-profit organization that standardizes the representation of text and symbols in digital systems worldwide through the Unicode Standard.
-
C.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
-
D.
Unicode Technical Reports
Unicode Technical Reports are supplementary documents published by the Unicode Consortium that provide detailed guidance, algorithms, and clarifications on specific aspects of Unicode beyond what is covered in the core specification.
-
E.
Unicode Technical Standard #35
Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c0412c8190ac16cc7d03015293 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:37 p.m.