Triple

T23071067
Position Surface form Disambiguated ID Type / Status
Subject Nador Province E575194 entity
Predicate hasCity P316 FINISHED
Object Nador 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: Nador | Statement: [Nador Province, hasCity, Nador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nador
Context triple: [Nador Province, hasCity, 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. Azemmour
    Azemmour is a historic Moroccan coastal town on the Atlantic, notable for its strategic role during the era of Portuguese expansion into North Africa.
  • D. 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.
  • E. Larache
    Larache is an archaeological site associated with the San Pedro de Atacama culture in northern Chile, known for its pre-Columbian remains and insights into ancient Atacameño society.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5f17348190ab92cfdae9bcaeba completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.