Triple

T18273347
Position Surface form Disambiguated ID Type / Status
Subject Queen Alia International Airport E437668 entity
Predicate hubFor P423 FINISHED
Object Royal Jordanian NE NERFINISHED

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: Royal Jordanian | Statement: [Queen Alia International Airport, hubFor, Royal Jordanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Jordanian
Context triple: [Queen Alia International Airport, hubFor, Royal Jordanian]
  • A. Royal Jordanian chosen
    Royal Jordanian is the flag carrier airline of Jordan, operating international flights primarily from its hub at Amman’s Queen Alia International Airport.
  • B. Jordanian Airways
    Jordanian Airways was a mid-20th-century airline based in Jordan that operated regional and international passenger services.
  • 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. 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.
  • E. Kuwait Airways
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5005006108190bbddddbe6bbdc911 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.