Triple

T6673935
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metro Line 5 E151801 entity
Predicate hasStation P35 FINISHED
Object Santa Isabel station E318474 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: Santa Isabel station | Statement: [Santiago Metro Line 5, hasStation, Santa Isabel station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Isabel station
Context triple: [Santiago Metro Line 5, hasStation, Santa Isabel station]
  • A. Santa Isabel station chosen
    Santa Isabel station is an underground stop on Santiago, Chile’s Metro system, serving Line 5 in the central area of the city.
  • B. San Pablo station
    San Pablo station is an interchange station in the Santiago Metro network that connects Line 5 with other lines in the western part of Santiago, Chile.
  • C. Pino Suárez station
    Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
  • D. San Carlos station
    San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
  • E. La Raza station
    La Raza station is a major Mexico City Metro interchange known for connecting multiple lines and serving as an important transit hub in the city’s northern 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748926b6c819080a2d32759529dae completed March 28, 2026, 3:18 a.m.
Created at: March 27, 2026, 2:03 p.m.