Triple
T26026222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Avenue–74th Street |
E647297
|
entity |
| Predicate | connectsSubwayDivisions |
P178001
|
FINISHED |
| Object | IRT and IND |
—
|
NE NERFINISHED |
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: IRT and IND | Statement: [Roosevelt Avenue–74th Street, connectsSubwayDivisions, IRT and IND]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsSubwayDivisions Context triple: [Roosevelt Avenue–74th Street, connectsSubwayDivisions, IRT and IND]
-
A.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
B.
subwayStation
Indicates that one entity is a subway station associated with, located in, or serving the other entity.
-
C.
subwayServices
Indicates that one entity provides or operates subway transportation services for another entity or area.
-
D.
urbanRailway
Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
-
E.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 22, 2026, 9:05 a.m.