Triple

T14601263
Position Surface form Disambiguated ID Type / Status
Subject Orlybus E342709 entity
Predicate servesAirport P6864 FINISHED
Object Orly Airport E2174 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: Orly Airport | Statement: [Orlybus, servesAirport, Orly Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orly Airport
Context triple: [Orlybus, servesAirport, Orly Airport]
  • A. Orly Airport chosen
    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.
  • B. 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.
  • C. 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.
  • D. Eilat Airport
    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.
  • E. Ilán and Asaf Ramon International Airport
    Ilán and Asaf Ramon International Airport is a modern international airport in southern Israel serving Eilat and the surrounding Red Sea resort region.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91a4d7881908f783beb72578067 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:25 a.m.