Triple

T9188451
Position Surface form Disambiguated ID Type / Status
Subject Larache E220517 entity
Predicate hasNearbyCity P350 FINISHED
Object Kenitra E354640 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: Kenitra | Statement: [Larache, hasNearbyCity, Kenitra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenitra
Context triple: [Larache, hasNearbyCity, 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 (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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31d91d48190b8b8874e09c84404 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c226bc881909609da0bfbd4748e completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.