Triple
T9609494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrocarril Suburbano |
E232060
|
entity |
| Predicate | primaryStation |
P394
|
FINISHED |
| Object | Buenavista station |
E457779
|
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: Buenavista station | Statement: [Ferrocarril Suburbano, primaryStation, Buenavista station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buenavista station Context triple: [Ferrocarril Suburbano, primaryStation, Buenavista station]
-
A.
Buenavista station
chosen
Buenavista station is a major Mexico City Metro terminal and transport hub located in the Buenavista area, connecting metro services with commuter rail and other transit options.
-
B.
Guadalupe station
Guadalupe station is an elevated rapid transit stop on Manila's MRT Line 3 serving the Guadalupe area in Makati, Philippines.
-
C.
Guadalupe station
Guadalupe station is a passenger rail station in Guadalupe, California, serving as a local stop on regional commuter and intercity rail services.
-
D.
Catalinas station
Catalinas station is a stop on Buenos Aires’ Line E underground, serving the Catalinas area in the city’s central business district.
-
E.
San Carlos station
San Carlos station is a commuter rail station in San Carlos, California, serving Caltrain passengers on the San Francisco Peninsula.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a8469e081909c8fb7c84ffea2b3 |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18220a2308190aac7380c98f23965 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:08 p.m.