Triple
T20801584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toesca metro station |
E512052
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Metro S.A. |
—
|
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: Metro S.A. | Statement: [Toesca metro station, owner, Metro S.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metro S.A. Context triple: [Toesca metro station, owner, Metro S.A.]
-
A.
Metro S.A.
chosen
Metro S.A. is the state-owned company responsible for managing and operating the Santiago Metro system in Chile’s capital city.
-
B.
METRO
METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
-
C.
METRO
METRO is the public bus transit system serving Santa Cruz County, California.
-
D.
METRO
METRO is the public transit system serving the Rock Region metropolitan area, providing bus and related transportation services to local residents.
-
E.
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b0d75881909cc89ebe4e27adc1 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:39 p.m.