Triple
T31136960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunters Point Avenue |
E793670
|
entity |
| Predicate | stationColorFamily |
P8222
|
FINISHED |
| Object | purple (Flushing Line) |
—
|
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: purple (Flushing Line) | Statement: [Hunters Point Avenue, stationColorFamily, purple (Flushing Line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationColorFamily Context triple: [Hunters Point Avenue, stationColorFamily, purple (Flushing Line)]
-
A.
metroSystemColor
Indicates the color assigned to a metro or subway line within a transit system.
-
B.
serviceBranchColor
Indicates the specific color associated with a particular branch of service (e.g., military or organizational branch) as its identifying or representative color.
-
C.
mapColorBrownLine
Indicates that an entity is associated with the brown-colored line on a map (e.g., a transit or route line depicted in brown).
-
D.
familyColor
chosen
Indicates that two entities share the same family-associated color or that one entity has a color characteristic of its family group.
-
E.
networkColorOfLine
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 9:05 p.m.