Triple

T15946891
Position Surface form Disambiguated ID Type / Status
Subject Wetzlar E386707 entity
Predicate hasTwinTown P919 FINISHED
Object La Bañeza E879380 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: La Bañeza | Statement: [Wetzlar, hasTwinTown, La Bañeza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Bañeza
Context triple: [Wetzlar, hasTwinTown, La Bañeza]
  • A. La Bañeza chosen
    La Bañeza is a small historic city in northwestern Spain known for its cultural festivals and traditional architecture.
  • B. Arnedo
    Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
  • C. Pozorrubio
    Pozorrubio is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its crop production and rural communities.
  • D. Baeza
    Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
  • E. Berruecos
    Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff7924b148190a470f86d5ca8882c completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:53 a.m.