Triple

T12485370
Position Surface form Disambiguated ID Type / Status
Subject Parque Bustamante station E298417 entity
Predicate locatedIn P40 FINISHED
Object Providencia E103259 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: Providencia | Statement: [Parque Bustamante station, locatedIn, Providencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Providencia
Context triple: [Parque Bustamante station, locatedIn, Providencia]
  • A. Providencia chosen
    Providencia is a central, upscale commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
  • B. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • C. Concepcion
    Concepcion is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural town in Central Luzon.
  • D. Concepcion
    Concepcion is a small island municipality in the province of Romblon in the Philippines, known for its rural coastal communities and surrounding marine environment.
  • E. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2b5ed481909ead4f5b96d44064 completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.