Triple

T17150717
Position Surface form Disambiguated ID Type / Status
Subject Arinsal E416212 entity
Predicate near P350 FINISHED
Object La Massana town 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 town | Statement: [Arinsal, near, La Massana town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Massana town
Context triple: [Arinsal, near, La Massana town]
  • A. La Massana chosen
    La Massana is a parish in northwestern Andorra known for its mountainous landscape, ski resorts, and outdoor tourism.
  • B. 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.
  • C. La Pobla de Massaluca
    La Pobla de Massaluca is a small rural municipality in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and wine production.
  • D. Ampurias
    Ampurias (Empúries) was an ancient Greek and later Roman coastal settlement in northeastern Spain that became an important trading hub in the western Mediterranean.
  • E. Vallmoll
    Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
  • 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_6a016743eb688190bdb5d85ed144ca1d completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:36 a.m.