Triple

T2188300
Position Surface form Disambiguated ID Type / Status
Subject TCAT E49801 entity
Predicate shortName P43 FINISHED
Object TCAT E49801 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: TCAT | Statement: [TCAT, shortName, TCAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCAT
Context triple: [TCAT, shortName, TCAT]
  • A. TCAT chosen
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • B. TCA
    TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
  • C. CTC
    CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
  • D. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • E. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf373c608190b7716c137b3e9fe9 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.