Triple

T6483396
Position Surface form Disambiguated ID Type / Status
Subject Nîmes E146449 entity
Predicate locatedIn P40 FINISHED
Object southern France E74674 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: southern France | Statement: [Nîmes, locatedIn, southern France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern France
Context triple: [Nîmes, locatedIn, southern France]
  • A. Southern France chosen
    Southern France is a culturally rich and geographically diverse region known for its Mediterranean coastline, historic cities, and renowned cuisine and wine.
  • B. southwestern France
    Southwestern France is a broad region of France known for its Atlantic coastline, historic cities like Bordeaux and Toulouse, renowned wine and cuisine, and diverse landscapes ranging from beaches to the Pyrenees mountains.
  • C. Provence
    Provence is a historic region in southeastern France known for its picturesque lavender fields, Mediterranean coastline, and rich cultural and culinary traditions.
  • D. Western France
    Western France is the Atlantic-facing part of France known for its coastal landscapes, maritime climate, and historic regions such as Brittany and Pays de la Loire.
  • E. south-central France
    South-central France is a largely rural, mountainous region dominated by the Massif Central, known for its volcanic landscapes, plateaus, and traditional agricultural areas.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6cd0c4819085a921e6a361d91c completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653afb1148190a8683f24a553f64d completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.