Triple

T17324375
Position Surface form Disambiguated ID Type / Status
Subject GMMN E420647 entity
Predicate servesAsHubFor P423 FINISHED
Object Royal Air Maroc 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 Air Maroc | Statement: [GMMN, servesAsHubFor, Royal Air Maroc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Air Maroc
Context triple: [GMMN, servesAsHubFor, 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. Air Arabia Maroc
    Air Arabia Maroc is a Moroccan low-cost airline based in Casablanca that operates regional and international flights as part of the Air Arabia Group.
  • C. Tunisair
    Tunisair is the flag carrier airline of Tunisia, operating domestic and international flights primarily from its hub in Tunis.
  • D. Air Sahara
    Air Sahara was an Indian private airline that operated domestic and limited international flights before being acquired and rebranded by Jet Airways.
  • E. 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.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d18e3081908ca15baa743abcd8 completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.