Triple

T17150221
Position Surface form Disambiguated ID Type / Status
Subject La Seu d’Urgell E416199 entity
Predicate near P350 FINISHED
Object Puigcerdà E941292 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: Puigcerdà | Statement: [La Seu d’Urgell, near, Puigcerdà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puigcerdà
Context triple: [La Seu d’Urgell, near, Puigcerdà]
  • A. Puigcerdà chosen
    Puigcerdà is a town in the Catalan Pyrenees that serves as the capital of the Cerdanya comarca in northeastern Spain.
  • B. Alcossebre
    Alcossebre is a coastal resort town in eastern Spain known for its sandy beaches, coves, and relaxed Mediterranean atmosphere.
  • C. Andratx
    Andratx is a coastal town and municipality on the southwestern tip of the Spanish island of Mallorca, known for its scenic harbor, beaches, and surrounding mountains.
  • D. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • E. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4067470819084aa233c4c4a6d4f completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415b1d7c81908d000b0362042687 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.