Triple
T1024142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh L. Carey Tunnel |
E22101
|
entity |
| Predicate | terminusInManhattan |
P23496
|
FINISHED |
| Object | Battery area of Lower Manhattan |
—
|
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: Battery area of Lower Manhattan | Statement: [Hugh L. Carey Tunnel, terminusInManhattan, Battery area of Lower Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusInManhattan Context triple: [Hugh L. Carey Tunnel, terminusInManhattan, Battery area of Lower Manhattan]
-
A.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
B.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
C.
brooklynTerminus
Indicates a relationship where a route, line, or service has its ending point or final stop located in Brooklyn.
-
D.
terminusNorth
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
-
E.
manhattanTrunkLine
Indicates a primary or central route, pathway, or connection running through a dense or core area, analogous to a main trunk line in Manhattan.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e28df08190b5be7794442a6f21 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7a0d0308190a00192aa9062bdaa |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.