Triple

T8271695
Position Surface form Disambiguated ID Type / Status
Subject Fóia viewpoint E193443 entity
Predicate locatedIn P40 FINISHED
Object Monchique E37978 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: Monchique | Statement: [Fóia viewpoint, locatedIn, Monchique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monchique
Context triple: [Fóia viewpoint, locatedIn, Monchique]
  • A. Monchique chosen
    Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
  • B. Monte Gordo
    Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
  • C. Monte Soro
    Monte Soro is a prominent mountain peak in northeastern Sicily, Italy, known as the highest summit of the Nebrodi mountain range.
  • D. Monte Toro
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • E. Cuiva
    The Cuiva are an Indigenous people of the Colombian and Venezuelan Llanos, traditionally semi-nomadic hunter-gatherers known for their close relationship with the savanna environment and for facing significant pressures from land conflicts and colonization.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7986f8cc8190a529dda980dd6e98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6ca48308190bd7a6c84d5954279 completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:50 p.m.