Triple

T6765781
Position Surface form Disambiguated ID Type / Status
Subject Pollença E154713 entity
Predicate hasNearbyTown P3883 FINISHED
Object Sa Pobla E610151 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: Sa Pobla | Statement: [Pollença, hasNearbyTown, Sa Pobla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sa Pobla
Context triple: [Pollença, hasNearbyTown, Sa Pobla]
  • A. Sa Pobla chosen
    Sa Pobla is a rural town in northern Mallorca, Spain, known for its agricultural production—especially potatoes—and traditional festivals.
  • B. Sant Celoni
    Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
  • C. Benicarló
    Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
  • D. 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.
  • E. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c67dc08190b21138488c80733a completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:12 p.m.