Triple

T15567934
Position Surface form Disambiguated ID Type / Status
Subject Idanha-a-Nova E374162 entity
Predicate adjacentTo P224 FINISHED
Object Fundão (municipality) E1133977 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: Fundão (municipality) | Statement: [Idanha-a-Nova, adjacentTo, Fundão (municipality)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fundão (municipality)
Context triple: [Idanha-a-Nova, adjacentTo, Fundão (municipality)]
  • A. Fundão Municipality chosen
    Fundão Municipality is a local administrative region in central Portugal known for its agricultural production, especially cherries, and its historic villages.
  • B. Canudos do Vale
    Canudos do Vale is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
  • C. Achada do Teixeira
    Achada do Teixeira is a popular mountain plateau and viewpoint in Madeira, Portugal, serving as a main access point for hikes into the island’s central highlands.
  • D. Pinheiro de Azevedo
    Pinheiro de Azevedo was a Portuguese admiral and politician who served as prime minister during the turbulent post-Carnation Revolution period in the mid-1970s.
  • E. Canindé de São Francisco
    Canindé de São Francisco is a municipality in the semi-arid interior of Sergipe, Brazil, known for its proximity to the São Francisco River and the scenic Xingó Canyon.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c231e0819083d6032eb21114b2 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:10 a.m.