Triple

T1732573
Position Surface form Disambiguated ID Type / Status
Subject El Al E37845 entity
Predicate hub P423 FINISHED
Object Ben Gurion Airport E52001 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: Ben Gurion Airport | Statement: [El Al, hub, Ben Gurion Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Gurion Airport
Context triple: [El Al, hub, Ben Gurion Airport]
  • A. Ben-Gurion Airport chosen
    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.
  • B. 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.
  • 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. 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.
  • E. Ezeiza International Airport
    Ezeiza International Airport is the main international gateway to Buenos Aires, Argentina, and one of the busiest airports in South America.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa639edaf88190b64b2f630a53f67c completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada983dd8081908fdef7d343025a4f completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.