Triple

T1281562
Position Surface form Disambiguated ID Type / Status
Subject Unicode Technical Standard #10 E27336 entity
Predicate shortName P43 FINISHED
Object DUCET
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
E146196 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: DUCET | Statement: [Unicode Technical Standard #10, shortName, DUCET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DUCET
Context triple: [Unicode Technical Standard #10, shortName, DUCET]
  • A. Doud
    Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
  • B. EUCO
    EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
  • C. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • D. Duff
    Duff is a masculine given name of Scottish origin, traditionally derived from a Gaelic word meaning "dark" or "swarthy."
  • E. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • 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: DUCET
Triple: [Unicode Technical Standard #10, shortName, DUCET]
Generated description
DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DUCET
Target entity description: DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
  • A. Doud
    Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
  • B. EUCO
    EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
  • C. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • D. Duff
    Duff is a masculine given name of Scottish origin, traditionally derived from a Gaelic word meaning "dark" or "swarthy."
  • E. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b317788190a1672b5ee422a049 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fb746881909ac7a8dd672fc939 completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca3752a3c81908bd6d9744ad5f5a2 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca3e44bf481908c5726adddc4b428 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:50 p.m.