Triple
T26026196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Avenue–74th Street |
E647297
|
entity |
| Predicate | stationComplexComponents |
P22144
|
FINISHED |
| Object | Jackson Heights–Roosevelt Avenue |
—
|
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: Jackson Heights–Roosevelt Avenue | Statement: [Roosevelt Avenue–74th Street, stationComplexComponents, Jackson Heights–Roosevelt Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationComplexComponents Context triple: [Roosevelt Avenue–74th Street, stationComplexComponents, Jackson Heights–Roosevelt Avenue]
-
A.
stationComplex
Indicates a relationship where one entity is a station complex that encompasses or is associated with another station-related entity.
-
B.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
C.
partOfTerminalComplex
Indicates that an entity functions as a component or subunit within a larger terminal complex structure.
-
D.
stationLayout
Indicates the spatial arrangement and structural organization of elements within a station.
-
E.
hasComponentStation
chosen
Indicates that an entity includes or is associated with a specific station as one of its component parts.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605eb6608819088e10425cd1d4787 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 9:05 a.m.