Triple
T6479178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R44 subway cars |
E146145
|
entity |
| Predicate | numberBuiltForNYCT |
P2091
|
FINISHED |
| Object | 300 |
—
|
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: 300 | Statement: [R44 subway cars, numberBuiltForNYCT, 300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberBuiltForNYCT Context triple: [R44 subway cars, numberBuiltForNYCT, 300]
-
A.
numberBuilt
chosen
Indicates the total count of items or structures that have been constructed or produced.
-
B.
bronxLine
Indicates a relationship where something is part of, associated with, or runs along the Bronx transit or route line.
-
C.
onSideOfManhattan
Indicates that one entity is located on the same side of Manhattan as, or relative to, another reference entity.
-
D.
brooklynTerminus
Indicates a relationship where a route, line, or service has its ending point or final stop located in Brooklyn.
-
E.
manhattanBridgeTrack
Indicates a connection or route that follows or uses the Manhattan Bridge as its primary path or segment.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4e764c819086828bb841f588e0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:51 p.m.