Triple

T688841
Position Surface form Disambiguated ID Type / Status
Subject Provence-Alpes-Côte d’Azur E13346 entity
Predicate hasMajorCity P316 FINISHED
Object Aix-en-Provence E125526 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: Aix-en-Provence | Statement: [Provence-Alpes-Côte d’Azur, hasMajorCity, Aix-en-Provence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aix-en-Provence
Context triple: [Provence-Alpes-Côte d’Azur, hasMajorCity, Aix-en-Provence]
  • A. Aix-en-Provence chosen
    Aix-en-Provence is a historic and picturesque city in southern France, renowned for its Provençal charm, fountains, and as the hometown of painter Paul Cézanne.
  • B. 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.
  • C. Nîmes
    Nîmes is a historic city in southern France renowned for its well-preserved Roman monuments, including the Arena of Nîmes and the Maison Carrée.
  • D. Arles
    Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
  • E. Grenoble
    Grenoble is a major city in southeastern France, known for its Alpine setting, universities, and research centers.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca1f0988190aa95e12ecc86398e completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:36 p.m.