Triple

T2218995
Position Surface form Disambiguated ID Type / Status
Subject New York–Paris E48096 entity
Predicate hasEndpointAirport P37080 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: [New York–Paris, hasEndpointAirport, Orly Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orly Airport
Context triple: [New York–Paris, hasEndpointAirport, 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. Haifa Airport
    Haifa Airport is a small international airport in northern Israel serving domestic flights and limited regional routes for the city of Haifa.
  • D. Ozar Airport
    Ozar Airport is a public airport serving the city of Nashik in Maharashtra, India, handling both civilian and limited military aviation operations.
  • E. Sde Boker airstrip
    Sde Boker airstrip is a small regional airfield in the Negev Desert of southern Israel serving the Sde Boker community and nearby desert research and tourism sites.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655b369c8190a5d12b87401534d7 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.