Triple

T22456531
Position Surface form Disambiguated ID Type / Status
Subject Montesinho Natural Park E555130 entity
Predicate nearCity P350 FINISHED
Object Vinhais 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: Vinhais | Statement: [Montesinho Natural Park, nearCity, Vinhais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinhais
Context triple: [Montesinho Natural Park, nearCity, Vinhais]
  • A. Vinhais chosen
    Vinhais is a rural municipality in northeastern Portugal known for its traditional smoked meats, natural landscapes, and proximity to the Montesinho Natural Park.
  • B. Veiros
    Veiros is a small historic parish and village in the municipality of Estremoz, in Portugal’s Alentejo region.
  • C. Serpa
    Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
  • D. Cordinhã
    Cordinhã is a civil parish located in the municipality of Cantanhede in the Coimbra District of central Portugal.
  • E. Vimeiro
    Vimeiro is a village in western Portugal historically notable as the site of a major 1808 battle during the Peninsular War.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7c428c8190847a259eef969525 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.