Triple
T2269078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Jersey Coast Line |
E50614
|
entity |
| Predicate | openedAsPartOfNJTransit |
P37576
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [North Jersey Coast Line, openedAsPartOfNJTransit, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsPartOfNJTransit Context triple: [North Jersey Coast Line, openedAsPartOfNJTransit, 1980s]
-
A.
openedAsSubway
Indicates that a transportation facility or line originally began operation specifically as a subway service.
-
B.
openedAsMBTAStation
Indicates that an entity began operation specifically as an MBTA station at a particular time.
-
C.
openedAsRailStop
Indicates that an entity began operation or was first established specifically as a railway stop.
-
D.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
-
E.
openedAsRedLineStation
Indicates that a station began operation specifically as part of the Red Line when it first opened.
- F. None of above. chosen
Provenance (4 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc39b2f548190a38f604e0d36db3a |
completed | March 7, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:48 p.m.