Triple

T11569858
Position Surface form Disambiguated ID Type / Status
Subject Terminal 3 E274355 entity
Predicate IATAAirportCodeOfParent P2569 FINISHED
Object TLV E272663 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: TLV | Statement: [Terminal 3, IATAAirportCodeOfParent, TLV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLV
Context triple: [Terminal 3, IATAAirportCodeOfParent, TLV]
  • A. TLV chosen
    TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
  • B. TLB
    TLB is a popular paraphrased English version of the Bible aimed at making the text easily understandable in contemporary language.
  • C. TLA
    TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
  • D. TLT
    TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
  • E. TLT
    TLT is the IATA airport code for the small public airport serving the remote community of Tuluksak in western Alaska.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd543a48190b834abd8e8ae7b65 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8dec908819080d97cd33be55b3f completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.