Triple

T3753541
Position Surface form Disambiguated ID Type / Status
Subject Fort Worth Meacham International Airport E81388 entity
Predicate hasThreeLetterLocationIdentifier P418 FINISHED
Object FTW E385501 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: FTW | Statement: [Fort Worth Meacham International Airport, hasThreeLetterLocationIdentifier, FTW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FTW
Context triple: [Fort Worth Meacham International Airport, hasThreeLetterLocationIdentifier, FTW]
  • A. FTW chosen
    FTW is the IATA airport code for Fort Worth Meacham International Airport in Fort Worth, Texas.
  • B. FT
    FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
  • C. FTTA
    FTTA is a U.S. law that promotes collaboration and technology transfer between federal laboratories and the private sector to commercialize government-funded innovations.
  • D. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • E. FTU
    FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb0fc6248190b2f4adf3fd2d73d9 completed March 14, 2026, 6:07 a.m.
Created at: March 8, 2026, 3:35 p.m.