Triple

T8262521
Position Surface form Disambiguated ID Type / Status
Subject Matmid Frequent Flyer Club E193227 entity
Predicate operator P179 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: [Matmid Frequent Flyer Club, operator, El Al]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Al
Context triple: [Matmid Frequent Flyer Club, operator, 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. Radazul
    Radazul is a coastal residential and marina area on the island of Tenerife in Spain’s Canary Islands.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d7ff2a88190964a272647245bdc completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:49 p.m.