Triple

T2489324
Position Surface form Disambiguated ID Type / Status
Subject Ben-Gurion Airport E52001 entity
Predicate hubFor P423 FINISHED
Object El Al E37845 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: El Al | Statement: [Ben-Gurion Airport, hubFor, El Al]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Al
Context triple: [Ben-Gurion Airport, hubFor, El Al]
  • A. El Al chosen
    El Al is Israel's flag carrier airline, known for its extensive international routes and stringent security measures.
  • B. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • C. Iberia Líneas Aéreas de España
    Iberia Líneas Aéreas de España is the flag carrier airline of Spain, operating an extensive network of domestic and international flights, primarily through its main hub in Madrid.
  • D. Air Europa
    Air Europa is a Spanish airline that operates domestic and international flights, serving as one of Spain’s major carriers and a member of the SkyTeam alliance.
  • E. Etihad Airways
    Etihad Airways is the national airline of the United Arab Emirates, based in Abu Dhabi and operating an extensive network of international passenger and cargo flights.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd17b7a048190bcc8f0a66514a052 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.