Triple

T12401247
Position Surface form Disambiguated ID Type / Status
Subject Klatovy E296256 entity
Predicate twinTown P1072 FINISHED
Object Carpentras E224144 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: Carpentras | Statement: [Klatovy, twinTown, Carpentras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpentras
Context triple: [Klatovy, twinTown, Carpentras]
  • A. Carpentras chosen
    Carpentras is a historic town in southeastern France’s Provence region, known for its medieval architecture, rich Jewish heritage, and role as a former papal territory.
  • B. Saint-Jean-du-Gard
    Saint-Jean-du-Gard is a picturesque commune in southern France known as a gateway to the Cévennes mountains and for its historical role in Protestant and rural Cévenol culture.
  • C. 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.
  • D. Gardanne
    Gardanne is a commune in southern France known for its industrial heritage and location between Marseille and Aix-en-Provence.
  • E. Aix-en-Provence
    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.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d46007c81908e0f4b590402bf58 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea3ec588190bca355953267578f completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:55 p.m.