Triple

T18216875
Position Surface form Disambiguated ID Type / Status
Subject Torres Novas E436183 entity
Predicate municipalSeat P15510 FINISHED
Object Torres Novas (city) 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: Torres Novas (city) | Statement: [Torres Novas, municipalSeat, Torres Novas (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torres Novas (city)
Context triple: [Torres Novas, municipalSeat, Torres Novas (city)]
  • A. Torres Novas chosen
    Torres Novas is a historic Portuguese city known for its medieval castle and location in the Santarém District of central Portugal.
  • 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. Viana do Alentejo
    Viana do Alentejo is a small historic town in Portugal’s Alentejo region, known for its whitewashed houses, rural landscapes, and traditional religious festivals.
  • E. Lamego
    Lamego is a historic city in northern Portugal known for its baroque Sanctuary of Our Lady of Remedies and its location in the Douro wine region.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.