Triple

T20568197
Position Surface form Disambiguated ID Type / Status
Subject Câmara Municipal de Oeiras E505018 entity
Predicate locatedIn P40 FINISHED
Object Municipality of Oeiras NE NERFINISHED

How this triple was built (3 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: Municipality of Oeiras | Statement: [Câmara Municipal de Oeiras, locatedIn, Municipality of Oeiras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Municipality of Oeiras
Context triple: [Câmara Municipal de Oeiras, locatedIn, Municipality of Oeiras]
  • A. Odivelas Municipality
    Odivelas Municipality is a suburban municipality in the Lisbon District of Portugal, known for its dense urban character and integration into the Lisbon metropolitan area.
  • B. Municipality of Sintra
    The Municipality of Sintra is a local government area in the Lisbon District of Portugal that encompasses the historic town of Sintra and its surrounding parishes.
  • C. Municipality of Sines
    The Municipality of Sines is a coastal municipality in Portugal known for its major deep-water port and industrial complex on the Alentejo coast.
  • D. Municipality of Santiago do Cacém
    The Municipality of Santiago do Cacém is a local administrative region in the Alentejo area of Portugal, encompassing the town of Santiago do Cacém and its surrounding parishes.
  • E. Lousã Municipality
    Lousã Municipality is a Portuguese local administrative region in central Portugal, known for its historic castle, schist villages, and location within the Coimbra District.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Municipality of Oeiras
Target entity description: The Municipality of Oeiras is a coastal administrative region in the Lisbon District of Portugal, known for its high-tech business parks, affluent residential areas, and proximity to the capital city.
  • A. Odivelas Municipality
    Odivelas Municipality is a suburban municipality in the Lisbon District of Portugal, known for its dense urban character and integration into the Lisbon metropolitan area.
  • B. Municipality of Sintra
    The Municipality of Sintra is a local government area in the Lisbon District of Portugal that encompasses the historic town of Sintra and its surrounding parishes.
  • C. Municipality of Sines
    The Municipality of Sines is a coastal municipality in Portugal known for its major deep-water port and industrial complex on the Alentejo coast.
  • D. Municipality of Santiago do Cacém
    The Municipality of Santiago do Cacém is a local administrative region in the Alentejo area of Portugal, encompassing the town of Santiago do Cacém and its surrounding parishes.
  • E. Lousã Municipality
    Lousã Municipality is a Portuguese local administrative region in central Portugal, known for its historic castle, schist villages, and location within the Coimbra District.
  • F. None of above. chosen

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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.