Triple

T188949
Position Surface form Disambiguated ID Type / Status
Subject Unicode E3674 entity
Predicate hasEncodingForm P1444 FINISHED
Object UTF-32
UTF-32 is a fixed-length Unicode character encoding that represents each code point using 32 bits, providing simple indexing at the cost of higher memory usage.
 E23921 NE FINISHED

How this triple was built (4 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: UTF-32 | Statement: [Unicode, hasEncodingForm, UTF-32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UTF-32
Context triple: [Unicode, hasEncodingForm, UTF-32]
  • A. 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.
  • B. Latin-1 Supplement
    Latin-1 Supplement is a Unicode block that extends the basic Latin script with additional characters, including accented letters and symbols used in many Western European languages.
  • C. Cyrillic Extended-B
    Cyrillic Extended-B is a Unicode block that contains additional Cyrillic characters used for writing various minority and historic languages that employ the Cyrillic script.
  • D. Latin Extended-B
    Latin Extended-B is a Unicode block that adds additional Latin characters used for various historical, phonetic, and minority language orthographies beyond the basic Latin set.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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: UTF-32
Triple: [Unicode, hasEncodingForm, UTF-32]
Generated description
UTF-32 is a fixed-length Unicode character encoding that represents each code point using 32 bits, providing simple indexing at the cost of higher memory usage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UTF-32
Target entity description: UTF-32 is a fixed-length Unicode character encoding that represents each code point using 32 bits, providing simple indexing at the cost of higher memory usage.
  • A. 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.
  • B. Latin-1 Supplement
    Latin-1 Supplement is a Unicode block that extends the basic Latin script with additional characters, including accented letters and symbols used in many Western European languages.
  • C. Cyrillic Extended-B
    Cyrillic Extended-B is a Unicode block that contains additional Cyrillic characters used for writing various minority and historic languages that employ the Cyrillic script.
  • D. Latin Extended-B
    Latin Extended-B is a Unicode block that adds additional Latin characters used for various historical, phonetic, and minority language orthographies beyond the basic Latin set.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • F. None of above. chosen

Provenance (5 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30287094c8190ad4669e856a29f6c completed Feb. 28, 2026, 2:58 p.m.
NEDg Description generation batch_69a3047bf9588190a147cea4f7b74f46 completed Feb. 28, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69a304fdf7888190b0e14ca4eeffe397 completed Feb. 28, 2026, 3:08 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.