Triple

T16690041
Position Surface form Disambiguated ID Type / Status
Subject Count of Oeiras E405568 entity
Predicate seatRegion P56411 FINISHED
Object Oeiras, Portugal E526837 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: Oeiras, Portugal | Statement: [Count of Oeiras, seatRegion, Oeiras, Portugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeiras, Portugal
Context triple: [Count of Oeiras, seatRegion, Oeiras, Portugal]
  • A. Odivelas, Portugal
    Odivelas, Portugal is a suburban city in the Lisbon metropolitan area known historically for its Cistercian monastery, where Queen Philippa of Lancaster died and was buried.
  • B. Oeiras chosen
    Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
  • C. Oeiras
    Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
  • D. Vila do Conde, Portugal
    Vila do Conde is a coastal city in northern Portugal known for its historic shipbuilding heritage, beaches, and well-preserved medieval architecture.
  • E. Setúbal, Portugal
    Setúbal, Portugal is a coastal city and municipality south of Lisbon known for its fishing industry, natural harbor, and as the hometown of football manager José Mourinho.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea8cabc8190ba321503399960da completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091966fbc81908cd1db230ddbb82b completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.