Triple

T12787735
Position Surface form Disambiguated ID Type / Status
Subject Bron E305674 entity
Predicate twinTown P1072 FINISHED
Object Talavera de la Reina E154668 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: Talavera de la Reina | Statement: [Bron, twinTown, Talavera de la Reina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talavera de la Reina
Context triple: [Bron, twinTown, Talavera de la Reina]
  • A. Talavera de la Reina chosen
    Talavera de la Reina is a historic city in central Spain, renowned for its traditional ceramics and strategic location in the province of Toledo.
  • B. Talavera la Real
    Talavera la Real is a small municipality in the province of Badajoz, Extremadura, Spain, known for its proximity to Badajoz and its nearby airport.
  • C. Talavera
    Talavera is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice production and rural communities.
  • D. Henares
    Henares is a river in central Spain that flows through the Province of Guadalajara and is a tributary of the Jarama River.
  • E. Valverde de la Vera
    Valverde de la Vera is a historic village in the province of Cáceres, Extremadura, Spain, known for its traditional architecture and scenic setting in the La Vera region.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850703948190984acf9e434cd2a7 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.