Triple

T1977860
Position Surface form Disambiguated ID Type / Status
Subject Cimiez Monastery cemetery, Nice E42956 entity
Predicate locatedIn P40 FINISHED
Object Cimiez E143403 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: Cimiez | Statement: [Cimiez Monastery cemetery, Nice, locatedIn, Cimiez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cimiez
Context triple: [Cimiez Monastery cemetery, Nice, locatedIn, Cimiez]
  • A. Cimiez chosen
    Cimiez is a historic and upscale residential district in Nice, France, known for its Roman ruins, Belle Époque architecture, and cultural institutions.
  • B. Aigues-Mortes
    Aigues-Mortes is a historic fortified town in southern France, renowned for its well-preserved medieval walls and proximity to the salt marshes of the Camargue.
  • C. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • D. Saint-Rémy-de-Provence
    Saint-Rémy-de-Provence is a historic town in southern France known for its Provençal landscapes and as a place where Vincent van Gogh lived and painted several masterpieces.
  • E. L’Isle-sur-la-Sorgue
    L’Isle-sur-la-Sorgue is a picturesque Provençal town in southeastern France renowned for its canals, antique markets, and historic waterwheels.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb42ecde881909bc9132885d8d0bd completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ee4b678819097da9363e032a670 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:36 p.m.