Triple
T4775912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourth Avenue Local |
E106045
|
entity |
| Predicate | associatedRouteColor |
P34402
|
FINISHED |
| Object | R route color (yellow) |
—
|
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: R route color (yellow) | Statement: [Fourth Avenue Local, associatedRouteColor, R route color (yellow)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRouteColor Context triple: [Fourth Avenue Local, associatedRouteColor, R route color (yellow)]
-
A.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
B.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
-
C.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
D.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
E.
mapColorOrangeLine
Indicates that an entity is associated with, represented by, or rendered using the color of the orange line on a map.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.