Triple

T11962129
Position Surface form Disambiguated ID Type / Status
Subject La Cisterna station E284692 entity
Predicate hasEntranceFrom P1985 FINISHED
Object Américo Vespucio Sur E449979 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: Américo Vespucio Sur | Statement: [La Cisterna station, hasEntranceFrom, Américo Vespucio Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Américo Vespucio Sur
Context triple: [La Cisterna station, hasEntranceFrom, Américo Vespucio Sur]
  • A. Vespucio Sur chosen
    Vespucio Sur is a major urban highway in Santiago, Chile, forming part of the city’s beltway system and facilitating high-capacity traffic flow around the southern sector of the capital.
  • B. Magallanes
    Magallanes is a landlocked agricultural municipality in the province of Cavite in the Philippines, known for its rural character and historical roots.
  • C. Magallanes
    Magallanes is a coastal municipality in the province of Agusan del Norte in the Caraga region of Mindanao, Philippines.
  • D. Magallanes
    Magallanes is a Chilean professional football club known for its historic role in the early development of Chilean soccer.
  • E. Planalto Meridional
    Planalto Meridional is a major plateau region in southern Brazil characterized by rolling highlands, basaltic rock formations, and extensive agricultural areas.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.