Triple

T1976910
Position Surface form Disambiguated ID Type / Status
Subject Figueres E42935 entity
Predicate capitalOf P204 FINISHED
Object Alt Empordà E223499 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: Alt Empordà | Statement: [Figueres, capitalOf, Alt Empordà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt Empordà
Context triple: [Figueres, capitalOf, Alt Empordà]
  • A. Comarca of Alt Empordà chosen
    The Comarca of Alt Empordà is a coastal county in northeastern Catalonia, Spain, known for its Mediterranean landscapes, wine production, and cultural heritage near the French border.
  • B. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • C. Manresa
    Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
  • D. Trambesòs
    Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
  • E. Noguera Ribagorçana
    Noguera Ribagorçana is a river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f9a87c8190816db3888787ad76 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fd7b46c819094467fcafe61aa6e completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.