Triple

T4200770
Position Surface form Disambiguated ID Type / Status
Subject Casa-Port railway station E86058 entity
Predicate locatedIn P40 FINISHED
Object Casablanca-Settat E89239 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: Casablanca-Settat | Statement: [Casa-Port railway station, locatedIn, Casablanca-Settat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casablanca-Settat
Context triple: [Casa-Port railway station, locatedIn, Casablanca-Settat]
  • A. Casablanca-Settat region chosen
    The Casablanca-Settat region is an administrative region in western Morocco that includes the country’s largest city and economic hub, Casablanca, along with surrounding urban and rural areas.
  • B. Benslimane
    Benslimane is a town and provincial capital in northwestern Morocco, known for its forests and proximity to Casablanca.
  • C. 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.
  • D. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • E. Sidi Bennour
    Sidi Bennour is a town and provincial capital in western Morocco known for its agricultural activities, particularly cereal and sugar beet production.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0363bbb8819093f396afe91972e2 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea45c53908190af21d54dbf9550f0 completed March 21, 2026, 1:59 p.m.
Created at: March 9, 2026, 3:49 p.m.