Triple

T17088469
Position Surface form Disambiguated ID Type / Status
Subject Setúbal District E414661 entity
Predicate hasMunicipality P847 FINISHED
Object Grândola NE NERFINISHED

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: Grândola | Statement: [Setúbal District, hasMunicipality, Grândola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grândola
Context triple: [Setúbal District, hasMunicipality, Grândola]
  • A. Grândola chosen
    Grândola is a town and municipality in southern Portugal historically associated with the Alentejo region and the Carnation Revolution song "Grândola, Vila Morena."
  • B. Mondim de Basto
    Mondim de Basto is a small town in northern Portugal known for its scenic mountainous landscapes and role as the administrative center of the surrounding municipality.
  • C. Coruche
    Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
  • D. Penacova
    Penacova is a picturesque riverside town in central Portugal known for its scenic landscapes, viewpoints, and traditional villages along the Mondego River.
  • E. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.