Triple

T876488
Position Surface form Disambiguated ID Type / Status
Subject Santa Justa Lift E18928 entity
Predicate hasViewOf P854 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: [Santa Justa Lift, hasViewOf, Baixa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixa district
Context triple: [Santa Justa Lift, hasViewOf, Baixa district]
  • A. 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.
  • B. South End
    South End is a historic, predominantly residential neighborhood in Hartford, Connecticut, known for its strong Italian-American heritage and local eateries.
  • C. Penge Urban District
    Penge Urban District was a former local government district in southeast London that administered the suburban area of Penge before its incorporation into the London Borough of Bromley.
  • D. Waterside District
    Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
  • E. Old Mill District
    Old Mill District is a redeveloped historic lumber mill area in Bend, Oregon, featuring shopping, dining, entertainment, and riverfront recreation.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8520a008190a15bdb93e8ce2438 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.