Triple

T13583855
Position Surface form Disambiguated ID Type / Status
Subject Camarate E324494 entity
Predicate locatedIn P40 FINISHED
Object Lisbon District E128968 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: Lisbon District | Statement: [Camarate, locatedIn, Lisbon District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon District
Context triple: [Camarate, locatedIn, Lisbon District]
  • A. Lisbon District chosen
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • B. Porto District
    Porto District is an administrative region in northern Portugal centered on the city of Porto, known for its historic architecture, port wine production, and Atlantic coastline.
  • C. Ribeira district
    The Ribeira district is Porto’s historic riverside quarter, known for its narrow medieval streets, colorful waterfront buildings, and lively cafés along the Douro River.
  • D. Baixa district of Lisbon
    The Baixa district of Lisbon is the city’s historic downtown area, known for its grand Pombaline architecture, grid-pattern streets, and bustling squares like Praça do Comércio and Rossio.
  • E. Braga District
    Braga District is an administrative region in northern Portugal known for its historic cities, academic institutions, and growing scientific research infrastructure.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:49 p.m.