Triple

T14150003
Position Surface form Disambiguated ID Type / Status
Subject El Aaiún E350653 entity
Predicate servedBy P82 FINISHED
Object Hassan I Airport E349786 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: Hassan I Airport | Statement: [El Aaiún, servedBy, Hassan I Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan I Airport
Context triple: [El Aaiún, servedBy, Hassan I Airport]
  • A. Hassan I Airport chosen
    Hassan I Airport is the main public airport serving the city of Laayoune in Western Sahara, handling both domestic and limited international flights.
  • B. Beni Mellal Airport
    Beni Mellal Airport is a regional public airport serving the city of Beni Mellal and its surrounding area in central Morocco.
  • C. Cherif Al Idrissi Airport
    Cherif Al Idrissi Airport is a regional airport serving the city of Al Hoceima and the surrounding Rif region in northern Morocco.
  • D. Rabat–Salé Airport
    Rabat–Salé Airport is the main international airport serving Morocco’s capital region, handling both civilian and military air traffic.
  • E. Oran Ahmed Ben Bella Airport
    Oran Ahmed Ben Bella Airport is the main international airport serving the city of Oran in northwestern Algeria.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf205c788190920b5055f9fe63a8 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:56 a.m.