Triple

T10695148
Position Surface form Disambiguated ID Type / Status
Subject Catedral station E252116 entity
Predicate hasConnection P8776 FINISHED
Object Perú station E717930 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: Perú station | Statement: [Catedral station, hasConnection, Perú station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perú station
Context triple: [Catedral station, hasConnection, Perú station]
  • A. Perú station chosen
    Perú station is a historic stop on the Buenos Aires Underground located in the city center, known for serving the busy Line A and connecting to other key transit routes.
  • B. Lima station
    Lima station is an underground metro station on Buenos Aires’ Line A, serving the city’s central area.
  • C. Bolívar station
    Bolívar station is a stop on the Buenos Aires Underground (Subte) network, serving Line E in the historic center of Argentina’s capital.
  • D. La Paz station
    La Paz station is a Mexico City Metro terminal station serving as the eastern endpoint of Line A in the State of Mexico.
  • E. Niquía station
    Niquía station is a major northern terminal station of the Medellín Metro system, serving as a key access point to the metropolitan area.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998da1738819099a9090c3e8badc9 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:11 p.m.