Triple
T9736799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North White Plains |
E236083
|
entity |
| Predicate | railLineRole |
P14634
|
FINISHED |
| Object | northern terminal for many local Harlem Line trains |
—
|
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: northern terminal for many local Harlem Line trains | Statement: [North White Plains, railLineRole, northern terminal for many local Harlem Line trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railLineRole Context triple: [North White Plains, railLineRole, northern terminal for many local Harlem Line trains]
-
A.
railwayLineRole
chosen
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
B.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
C.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
D.
railLineOrigin
Indicates that a rail line begins or originates from a specified location or point.
-
E.
railwayLineType
Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef032088190acd94c35b89e48b7 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.