Triple

T1978519
Position Surface form Disambiguated ID Type / Status
Subject Marquisate of Dalí de Púbol E42970 entity
Predicate associatedLocation P37 FINISHED
Object Púbol, Girona E80146 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: Púbol, Girona | Statement: [Marquisate of Dalí de Púbol, associatedLocation, Púbol, Girona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Púbol, Girona
Context triple: [Marquisate of Dalí de Púbol, associatedLocation, Púbol, Girona]
  • A. Girona chosen
    Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
  • B. Ripoll
    Ripoll is a Spanish surname of Catalan origin, notably borne by Colombian singer Shakira.
  • C. Pollença
    Pollença is a historic town in northern Mallorca, Spain, known for its charming stone streets, traditional architecture, and proximity to scenic coastal and mountain landscapes.
  • D. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • E. Pau-Ferro
    Pau-Ferro is a neighborhood in the city of Recife, Brazil.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb43011188190b6a41c004e9e4802 completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032988ec8190b9012cbb77e7efa4 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.