Triple

T9717550
Position Surface form Disambiguated ID Type / Status
Subject Fóia E235379 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Caldas de Monchique E193440 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: Caldas de Monchique | Statement: [Fóia, hasNearbyAttraction, Caldas de Monchique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caldas de Monchique
Context triple: [Fóia, hasNearbyAttraction, Caldas de Monchique]
  • A. Caldas de Monchique chosen
    Caldas de Monchique is a small spa village in Portugal’s Algarve region, renowned for its thermal springs and scenic mountain setting.
  • B. Torres Novas
    Torres Novas is a historic Portuguese city known for its medieval castle and location in the Santarém District of central Portugal.
  • C. Lamego
    Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
  • D. Monção
    Monção is a historic town and municipality in northern Portugal, known for its fortified medieval center and production of Vinho Verde wines along the Minho River.
  • E. Montemor-o-Velho
    Montemor-o-Velho is a historic Portuguese town and municipality in central Portugal, known for its medieval castle overlooking the Mondego River and surrounding agricultural plains.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3d75e08190b4d86363595bd40d completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc45bfc81909b86d10598d9bd39 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:20 p.m.