Triple

T17124877
Position Surface form Disambiguated ID Type / Status
Subject Beira Interior E415565 entity
Predicate containsTown P847 FINISHED
Object Proença-a-Nova E429042 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: Proença-a-Nova | Statement: [Beira Interior, containsTown, Proença-a-Nova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Proença-a-Nova
Context triple: [Beira Interior, containsTown, Proença-a-Nova]
  • A. Proença-a-Nova chosen
    Proença-a-Nova is a small municipality and town in central Portugal known for its rural landscapes, forested hills, and traditional villages.
  • B. Montemor-o-Novo
    Montemor-o-Novo is a historic town and municipality in Portugal’s Alentejo region, known for its medieval castle ruins and rural landscapes.
  • C. Ferreira-a-Nova
    Ferreira-a-Nova is a civil parish in the municipality of Figueira da Foz, located in the Coimbra District of central Portugal.
  • D. Vila Nova de Poiares
    Vila Nova de Poiares is a small Portuguese municipality known for its rural landscapes, traditional cuisine, and location near the city of Coimbra in central Portugal.
  • 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 (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_6a05323c0fd88190aa7a3b963b9b8c3a completed May 14, 2026, 2:23 a.m.
Created at: April 10, 2026, 5:36 a.m.