Triple

T11716739
Position Surface form Disambiguated ID Type / Status
Subject Cerdanya E278517 entity
Predicate highestTown P210 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: [Cerdanya, highestTown, Puigcerdà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puigcerdà
Context triple: [Cerdanya, highestTown, 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. 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.
  • C. Santpedor
    Santpedor is a small town in Catalonia, Spain, best known internationally as the birthplace of football manager Pep Guardiola.
  • D. 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.
  • E. Empordà
    Empordà is a historic coastal region in northeastern Catalonia, Spain, known for its medieval villages, Mediterranean landscapes, and strong cultural ties to the artist Salvador Dalí.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c10d988190842acd824135cf15 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1306859208190bc5d0b4f81fb1bff completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:40 p.m.