Triple
T23679506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Juan Capistrano station |
E584978
|
entity |
| Predicate | amtrakStationCode |
P18202
|
FINISHED |
| Object | SNC |
—
|
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: SNC | Statement: [San Juan Capistrano station, amtrakStationCode, SNC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: amtrakStationCode Context triple: [San Juan Capistrano station, amtrakStationCode, SNC]
-
A.
railroadCodeFor
chosen
Indicates that a specific railroad code is assigned to or used to identify a particular railroad entity.
-
B.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
-
C.
railTerminusFor
Indicates that one location serves as the final or terminal rail station or endpoint for a specified rail line or service.
-
D.
railTerminus
Indicates that a railway line or service ends at a particular station or location, which serves as its final terminus.
-
E.
terminusStation
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
- F. None of above.
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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f73148819089fa0c1a437f91fe |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.