Triple
T12403221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4A (Santiago Metro) |
E296313
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | San Ramón station |
E289059
|
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: San Ramón station | Statement: [Line 4A (Santiago Metro), hasStation, San Ramón station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Ramón station Context triple: [Line 4A (Santiago Metro), hasStation, San Ramón station]
-
A.
San Ramón station
chosen
San Ramón station is a stop on Santiago, Chile’s Metro system, serving passengers on Line 4A in the southeastern part of the city.
-
B.
San Pedro station
San Pedro station is a railway stop on the Philippine National Railways’ Metro Commuter Line serving the city of San Pedro in Laguna, Philippines.
-
C.
San José station
San José station is a stop on Buenos Aires’ Line E underground, serving passengers in the city’s central area.
-
D.
Eduardo Molina station
Eduardo Molina station is a Mexico City Metro stop named after the nearby Eduardo Molina Avenue, serving commuters in the eastern part of the city.
-
E.
Saenz Peña station
Saenz Peña station is a stop on Line A of the Buenos Aires Underground, serving passengers in the central area of Argentina’s capital city.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671852f588190924ded1c0a360b47 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.