Triple

T11501090
Position Surface form Disambiguated ID Type / Status
Subject LLBG E272664 entity
Predicate IATACode P418 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: [LLBG, IATACode, TLV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TLV
Context triple: [LLBG, IATACode, 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.