Triple

T9650287
Position Surface form Disambiguated ID Type / Status
Subject Eilat E233312 entity
Predicate replacedAirport P29669 FINISHED
Object Eilat Airport E741853 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: Eilat Airport | Statement: [Eilat, replacedAirport, Eilat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eilat Airport
Context triple: [Eilat, replacedAirport, Eilat Airport]
  • A. Eilat Airport chosen
    Eilat Airport was a small domestic airport that served the resort city of Eilat in southern Israel until its closure and replacement by Ramon Airport.
  • B. Haifa Airport
    Haifa Airport is a small international airport in northern Israel serving domestic flights and limited regional routes for the city of Haifa.
  • C. Orly Airport
    Orly Airport is a major international airport serving Paris, France, located south of the city and handling a large share of its domestic and European flights.
  • D. Tel Aviv Airport
    Tel Aviv Airport was the original name of Sde Dov Airport, a former domestic airport that served the Tel Aviv area in Israel.
  • E. Ben-Gurion Airport
    Ben-Gurion Airport is Israel’s main international airport, located near Tel Aviv and serving as the country’s primary gateway for global air travel.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1826780fc81909c418e82bd94c581 completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.