Triple

T2175496
Position Surface form Disambiguated ID Type / Status
Subject Canton of Valence-1 E48516 entity
Predicate containsPartOf P1393 FINISHED
Object Valence, Drôme E50628 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: Valence, Drôme | Statement: [Canton of Valence-1, containsPartOf, Valence, Drôme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valence, Drôme
Context triple: [Canton of Valence-1, containsPartOf, Valence, Drôme]
  • A. Bellegarde-sur-Valserine
    Bellegarde-sur-Valserine is a commune in eastern France’s Ain department, known as a transport hub near the Swiss border where major rail and road routes converge in the Rhône-Alpes region.
  • B. Veyrier
    Veyrier is a municipality in southwestern Switzerland located just outside the city of Geneva, near the French border.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Old town of Valence chosen
    The Old town of Valence is the historic center of Valence, France, characterized by its medieval streets, traditional architecture, and cultural heritage sites.
  • E. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9eff988190a02734bd73616cba completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.