Triple
T6331776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SJC (Amtrak) |
E142396
|
entity |
| Predicate | railStationType |
P27765
|
FINISHED |
| Object | intercity rail hub |
—
|
LITERAL 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: intercity rail hub | Statement: [SJC (Amtrak), railStationType, intercity rail hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railStationType Context triple: [SJC (Amtrak), railStationType, intercity rail hub]
-
A.
railwayStationCategory
Indicates the classification or type category assigned to a railway station within a rail network or system.
-
B.
stationType
chosen
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
C.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
D.
railwayStationInstanceOf
Indicates that a given railway station is an instance of a specified class or type of railway station.
-
E.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.