Triple

T15028803
Position Surface form Disambiguated ID Type / Status
Subject Pampilhosa da Serra E378286 entity
Predicate borderedBy P224 FINISHED
Object Oleiros E374163 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: Oleiros | Statement: [Pampilhosa da Serra, borderedBy, Oleiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oleiros
Context triple: [Pampilhosa da Serra, borderedBy, Oleiros]
  • A. Oleiros chosen
    Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
  • B. Oleiros
    Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
  • C. Feteiras
    Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • D. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • E. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd967588190821cf47e9734db21 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.