Triple

T4816488
Position Surface form Disambiguated ID Type / Status
Subject Pontcharra E107600 entity
Predicate locatedInHistoricRegion P5057 FINISHED
Object Dauphiné E220592 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: Dauphiné | Statement: [Pontcharra, locatedInHistoricRegion, Dauphiné]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dauphiné
Context triple: [Pontcharra, locatedInHistoricRegion, Dauphiné]
  • A. Dauphiné chosen
    Dauphiné is a historical region in southeastern France, centered around Grenoble in the Alps, known for its role in French history and distinctive alpine culture.
  • B. Côte des Bar
    Côte des Bar is a southern Champagne-producing area in France known for its rolling hills, Kimmeridgian soils, and Pinot Noir–dominant sparkling wines.
  • C. La Dôle
    La Dôle is a prominent mountain peak in the Jura range of western Switzerland, known for its panoramic views over Lake Geneva and the Alps and for hosting telecommunications and weather facilities near its summit.
  • D. Aube
    Aube is a department in northeastern France known for its historic towns, Champagne vineyards, and rural landscapes.
  • E. Val d’Ain
    Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:23 p.m.