Triple

T9365929
Position Surface form Disambiguated ID Type / Status
Subject Irifiyen E225397 entity
Predicate associatedWithCity P1481 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: [Irifiyen, associatedWithCity, Nador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nador
Context triple: [Irifiyen, associatedWithCity, Nador]
  • A. Nador
    Nador is a town in northern Algeria, likely situated within the coastal Tipaza Province west of Algiers.
  • B. Nador chosen
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • C. 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.
  • D. Nador Province
    Nador Province is an administrative region in northeastern Morocco known for its Mediterranean coastline and the city of Nador as its capital.
  • E. 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.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5041261c81909edab3b7fcd1fe22 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078ad1648190b722b99d9273fd61 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:43 p.m.