Triple

T17150644
Position Surface form Disambiguated ID Type / Status
Subject Parish of La Massana E416211 entity
Predicate capital P234 FINISHED
Object La Massana E937915 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: La Massana | Statement: [Parish of La Massana, capital, La Massana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Massana
Context triple: [Parish of La Massana, capital, La Massana]
  • A. La Massana chosen
    La Massana is a parish in northwestern Andorra known for its mountainous landscape, ski resorts, and outdoor tourism.
  • B. Figaró-Montmany
    Figaró-Montmany is a small municipality in the province of Barcelona, Catalonia, Spain, situated in a mountainous area near the Montseny Natural Park.
  • C. Mont-roig del Camp
    Mont-roig del Camp is a coastal municipality in Catalonia, Spain, known for its Mediterranean beaches and its association with the painter Joan Miró.
  • D. Vallmoll
    Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
  • E. Arenys de Munt
    Arenys de Munt is a municipality in the Maresme comarca of Catalonia, Spain, known for its Mediterranean setting and involvement in early Catalan independence referendums.
  • 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.