Triple

T1258862
Position Surface form Disambiguated ID Type / Status
Subject Royal Jordanian E12452 entity
Predicate hasCodeShareAgreementsWith P10967 FINISHED
Object Royal Air Maroc E13189 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: Royal Air Maroc | Statement: [Royal Jordanian, hasCodeShareAgreementsWith, Royal Air Maroc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Air Maroc
Context triple: [Royal Jordanian, hasCodeShareAgreementsWith, Royal Air Maroc]
  • A. Royal Air Maroc chosen
    Royal Air Maroc is the flag carrier airline of Morocco, operating an extensive network of flights across Africa, Europe, the Americas, and the Middle East from its main hub in Casablanca.
  • B. Tunisair
    Tunisair is the flag carrier airline of Tunisia, operating domestic and international flights primarily from its hub in Tunis.
  • C. Middle East Airlines
    Middle East Airlines is the national flag carrier of Lebanon, operating regional and international flights primarily from its hub at Beirut–Rafic Hariri International Airport.
  • D. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2fa8aec8190ad68b9dc87c85cfc completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:50 p.m.