Triple

T1738837
Position Surface form Disambiguated ID Type / Status
Subject Fóia E37982 entity
Predicate hasViewOver P1323 FINISHED
Object Monchique mountains 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 mountains | Statement: [Fóia, hasViewOver, Monchique mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monchique mountains
Context triple: [Fóia, hasViewOver, Monchique mountains]
  • 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. Serranía del Delgado Chalbaud
    Serranía del Delgado Chalbaud is a remote mountain range in southeastern Venezuela, notable as part of the Guiana Shield and for containing the headwaters of the Orinoco River.
  • C. Sierra de Amula
    Sierra de Amula is a region in the Mexican state of Jalisco known for its mountainous landscapes, agricultural communities, and traditional rural culture.
  • D. 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.
  • E. Matra Mountains
    The Matra Mountains are a volcanic mountain range in northern Hungary, known for containing Kékes, the country’s highest peak.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c35aec8190b5c19ace5524173f completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc99a3e908190b64f70cf7ab83ed3 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:30 p.m.