Triple

T6668142
Position Surface form Disambiguated ID Type / Status
Subject Rif region E151657 entity
Predicate hasCity P316 FINISHED
Object Nador E138412 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: Nador | Statement: [Rif region, hasCity, Nador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nador
Context triple: [Rif region, hasCity, Nador]
  • A. Nador chosen
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • B. Larache
    Larache is a coastal city in northwestern Morocco, situated along the Atlantic Ocean and known for its historic medina and nearby ancient Phoenician-Roman archaeological site of Lixus.
  • C. Nador Province
    Nador Province is an administrative region in northeastern Morocco known for its Mediterranean coastline and the city of Nador as its capital.
  • D. Témara
    Témara is a coastal city in northwestern Morocco, situated just south of the capital Rabat and known as a growing residential and industrial suburb in the Rabat metropolitan area.
  • E. Agadir
    Agadir is a major coastal city in southwestern Morocco known for its Atlantic beaches, modern resort infrastructure, and role as a key tourist destination.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c4a8e48190aa3b2e41902d2f86 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef109f5c8190aa28b5d7aa192e6e completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.