Triple

T4883341
Position Surface form Disambiguated ID Type / Status
Subject Baixa-Chiado metro station E109381 entity
Predicate locatedIn P40 FINISHED
Object Baixa district E20143 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: Baixa district | Statement: [Baixa-Chiado metro station, locatedIn, Baixa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixa district
Context triple: [Baixa-Chiado metro station, locatedIn, Baixa district]
  • A. Bairro Alto
    Bairro Alto is a historic, bohemian neighborhood in Lisbon known for its narrow streets, vibrant nightlife, and traditional bars and restaurants.
  • B. Lisbon District
    Lisbon District is an administrative region in central-western Portugal that includes the nation’s capital, Lisbon, and several surrounding municipalities.
  • C. Co Do District
    Co Do District is a rural administrative district of Cần Thơ city in Vietnam’s Mekong Delta region.
  • D. Baixa chosen
    Baixa is Lisbon’s historic downtown district, known for its grid-planned streets, grand plazas, and Pombaline architecture rebuilt after the 1755 earthquake.
  • E. Richmond District
    The Richmond District is a largely residential neighborhood in northwestern San Francisco, known for its diverse communities, proximity to Golden Gate Park and the Presidio, and a mix of restaurants and shops along its main corridors.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddfff0c81908fb148a6f6508334 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680bf12c8190a5da2c7f0088cec2 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.