Triple

T17124883
Position Surface form Disambiguated ID Type / Status
Subject Beira Interior E415565 entity
Predicate containsTown P847 FINISHED
Object Aguiar da Beira E792447 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: Aguiar da Beira | Statement: [Beira Interior, containsTown, Aguiar da Beira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aguiar da Beira
Context triple: [Beira Interior, containsTown, Aguiar da Beira]
  • A. Aguiar da Beira chosen
    Aguiar da Beira is a municipality in central Portugal known for its rural landscape, historical villages, and traditional granite architecture.
  • B. Pedrógão
    Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
  • C. Barreiro da Faneca
    Barreiro da Faneca is a locality in Portugal, likely a small settlement or geographic area whose name refers to a characteristic landscape or historical feature.
  • D. Sernancelhe
    Sernancelhe is a municipality in northern Portugal known for its historic granite architecture, religious heritage, and scenic rural landscapes.
  • E. Seixas
    Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f025fce481908e261f2e363e14f9 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014147db18819083e6cfbb597687c1 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.