Triple

T14269865
Position Surface form Disambiguated ID Type / Status
Subject OKBK E353750 entity
Predicate hubFor P423 FINISHED
Object Kuwait Airways E370227 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: Kuwait Airways | Statement: [OKBK, hubFor, Kuwait Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuwait Airways
Context triple: [OKBK, hubFor, Kuwait Airways]
  • A. Kuwait Airways chosen
    Kuwait Airways is the national flag carrier airline of Kuwait, operating regional and international passenger and cargo services primarily across the Middle East, Asia, Europe, and North America.
  • B. Iraqi Airways
    Iraqi Airways is the national flag carrier airline of Iraq, operating domestic and international passenger and cargo services across the Middle East, Europe, and other regions.
  • 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. Jordanian Airways
    Jordanian Airways was a mid-20th-century airline based in Jordan that operated regional and international passenger services.
  • E. Jazeera Airways
    Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467d45c88190ac6ac280aa691591 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.