Triple
T2678760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crescent (New York segment) |
E56522
|
entity |
| Predicate | serviceOperatorType |
P21524
|
FINISHED |
| Object | national passenger railroad |
—
|
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: national passenger railroad | Statement: [Crescent (New York segment), serviceOperatorType, national passenger railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceOperatorType Context triple: [Crescent (New York segment), serviceOperatorType, national passenger railroad]
-
A.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
B.
typicalOperatorType
chosen
Indicates the usual or most common type or category of operator associated with a given entity or context.
-
C.
operatesServiceTo
Indicates that one entity runs or provides a transportation or service route to another entity or location.
-
D.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
E.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.