Triple

T6180152
Position Surface form Disambiguated ID Type / Status
Subject Palau d'Esports de Badalona E137920 entity
Predicate locatedIn P40 FINISHED
Object Badalona E133624 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: Badalona | Statement: [Palau d'Esports de Badalona, locatedIn, Badalona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badalona
Context triple: [Palau d'Esports de Badalona, locatedIn, Badalona]
  • A. Badalona chosen
    Badalona is a coastal city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its strong basketball tradition.
  • B. Len de l’El
    Len de l’El is a rare, traditional white grape variety from southwest France, primarily associated with the Gaillac wine region and valued for producing fresh, aromatic wines.
  • C. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • D. Cantarranas
    Cantarranas is a small, historic town in central Honduras known for its colorful street murals and traditional cultural festivals.
  • E. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fca4cc8190bf95231cd2a594c1 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141bf3f4081909849e38d322da251 completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.