Triple

T2499182
Position Surface form Disambiguated ID Type / Status
Subject ASFAR Rabat E52421 entity
Predicate alsoKnownAs P39 FINISHED
Object FAR Rabat E52421 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: FAR Rabat | Statement: [ASFAR Rabat, alsoKnownAs, FAR Rabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAR Rabat
Context triple: [ASFAR Rabat, alsoKnownAs, FAR Rabat]
  • A. ASFAR Rabat chosen
    ASFAR Rabat is a prominent Moroccan multi-sport club best known for its successful football team, traditionally associated with the Royal Moroccan Armed Forces and based in the capital city, Rabat.
  • B. Rabat
    Rabat is the capital city of Morocco, located on the Atlantic coast and known for its historic medina, coastal fortifications, and role as a political and administrative center.
  • C. FUS Rabat
    FUS Rabat is a Moroccan multi-sport club best known for its football team, based in the capital city of Rabat and competing in the country’s top league.
  • D. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • E. Rabat–Salé Airport
    Rabat–Salé Airport is the main international airport serving Morocco’s capital region, handling both civilian and military air traffic.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8bc7708190a507136d1f9f34ca completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.