Triple

T17414757
Position Surface form Disambiguated ID Type / Status
Subject Kenitra railway station E423459 entity
Predicate locatedIn P40 FINISHED
Object Kenitra 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: Kenitra | Statement: [Kenitra railway station, locatedIn, Kenitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenitra
Context triple: [Kenitra railway station, locatedIn, Kenitra]
  • A. Kenitra chosen
    Kenitra is a port city in northwestern Morocco, located on the Sebou River and known as an important industrial and transportation hub near the Atlantic coast.
  • B. 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.
  • C. Beni Mellal-Khénifra
    Beni Mellal-Khénifra is an administrative region in central Morocco known for its agricultural production, mountainous landscapes, and the city of Beni Mellal as a major urban center.
  • D. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • E. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44231e29881909695a33aab1d49a2 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.