Triple
T1036287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco 4th and King Street station |
E22369
|
entity |
| Predicate | futureService |
P7293
|
FINISHED |
| Object | planned electrified Caltrain service terminus |
—
|
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: planned electrified Caltrain service terminus | Statement: [San Francisco 4th and King Street station, futureService, planned electrified Caltrain service terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: futureService Context triple: [San Francisco 4th and King Street station, futureService, planned electrified Caltrain service terminus]
-
A.
laterFunction
Indicates that one function or event occurs after another in time.
-
B.
futureEvolution
chosen
Indicates a predicted or potential future development or transformation of one entity into another.
-
C.
eventualSuccessor
Indicates that one entity will become the successor of another at some later point in time, rather than immediately.
-
D.
possibleFunction
Indicates that an entity may serve, or is capable of serving, a particular function or role, without asserting that it actually does so.
-
E.
promises
Indicates that one entity commits to performing, providing, or ensuring something for another entity in the future.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.