Triple

T17324364
Position Surface form Disambiguated ID Type / Status
Subject GMMN E420647 entity
Predicate locatedNearCity P3883 FINISHED
Object Nouaceur 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: Nouaceur | Statement: [GMMN, locatedNearCity, Nouaceur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nouaceur
Context triple: [GMMN, locatedNearCity, Nouaceur]
  • A. Nouaceur chosen
    Nouaceur is a town and municipality in the Casablanca-Settat region of Morocco, known for hosting Mohammed V International Airport.
  • B. Tahannaout
    Tahannaout is a small town in central Morocco that serves as an administrative and market hub for the surrounding rural communities in the foothills of the High Atlas Mountains.
  • C. Bou Regreg
    Bou Regreg is a river in western Morocco that flows between the cities of Rabat and Salé before emptying into the Atlantic Ocean.
  • D. Jendouba
    Jendouba is a city in northwestern Tunisia known as an important regional center for agriculture and trade.
  • E. El Kef
    El Kef is a historic city in northwestern Tunisia known for its hilltop medina, Ottoman-era fortifications, and views over the surrounding mountains.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d18e3081908ca15baa743abcd8 completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.