Triple

T19626419
Position Surface form Disambiguated ID Type / Status
Subject Salvador metro station E471147 entity
Predicate serves P98 FINISHED
Object Providencia NE NERFINISHED

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: Providencia | Statement: [Salvador metro station, serves, Providencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providencia
Context triple: [Salvador metro station, serves, Providencia]
  • A. Providencia chosen
    Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
  • B. Providencia commune
    Providencia commune is a centrally located, affluent district of Santiago, Chile, known for its residential neighborhoods, commercial areas, parks, and cultural attractions.
  • C. Gualé
    Gualé refers to the Guale people, a Native American group that historically inhabited the coastal regions of what is now Georgia and northeastern Florida.
  • D. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • E. Curauma
    Curauma is a residential and educational area in the Valparaíso Region of Chile, known for hosting university campuses and being part of the city of Valparaíso’s inland expansion.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e9ff208190afb33c910ed2147b completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.