Triple
T8528615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PATH 33rd Street station |
E201883
|
entity |
| Predicate | primaryNYTerminusFor |
P29923
|
FINISHED |
| Object | PATH services from New Jersey |
—
|
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: PATH services from New Jersey | Statement: [PATH 33rd Street station, primaryNYTerminusFor, PATH services from New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryNYTerminusFor Context triple: [PATH 33rd Street station, primaryNYTerminusFor, PATH services from New Jersey]
-
A.
primaryManhattanLine
Indicates that one line segment or path is the main or dominant axis, measured using Manhattan (grid-based) distance, relative to other possible lines.
-
B.
primaryTerminalFor
chosen
Indicates that one entity serves as the main or principal terminal associated with another entity.
-
C.
primaryCorridorServed
Indicates that a corridor is the main route or pathway served by a given service, facility, or entity.
-
D.
isNorthernManhattanTerminalFor
Indicates that one location serves as the northern Manhattan terminal endpoint for a specified transit line or route.
-
E.
terminusBorough
Indicates the borough in which the endpoint or terminus of something (such as a route or line) is located.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.