Triple

T2179591
Position Surface form Disambiguated ID Type / Status
Subject Parc Jouvet E49008 entity
Predicate hasView P854 FINISHED
Object old town of Valence 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: old town of Valence | Statement: [Parc Jouvet, hasView, old town of Valence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: old town of Valence
Context triple: [Parc Jouvet, hasView, old town of Valence]
  • A. 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.
  • B. Ville de Valence
    Ville de Valence is the municipal government of the French city of Valence, responsible for local administration, public services, and cultural institutions.
  • C. Vaison-la-Romaine
    Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
  • D. Cavaillon
    Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
  • E. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeefb7648190b8fc57cf60553579 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71b142208190a09c8e459b200ecb completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:45 p.m.