Triple

T19606512
Position Surface form Disambiguated ID Type / Status
Subject TUAC E470618 entity
Predicate acronym P43 FINISHED
Object TUAC NE NERFINISHED

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: TUAC | Statement: [TUAC, acronym, TUAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TUAC
Context triple: [TUAC, acronym, TUAC]
  • A. TUAC chosen
    TUAC is an international trade union body that represents organized labor’s interests in policy discussions and consultations with the Organisation for Economic Co-operation and Development (OECD).
  • B. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • C. TuAF
    TuAF is the commonly used abbreviation for the Turkish Air Force, the aerial warfare branch of Turkey’s armed forces.
  • D. TAC
    TAC is the commonly used abbreviation for The Athletic Congress, the former governing body for track and field in the United States.
  • E. TAC
    TAC is the commonly used abbreviation for Tartu Art College, an Estonian institution of higher education specializing in art and design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c7ed24819091502fe0d5e139bc completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.