Triple
T2896572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway C line |
E63953
|
entity |
| Predicate | routeColor |
P9560
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [New York City Subway C line, routeColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeColor Context triple: [New York City Subway C line, routeColor, blue]
-
A.
roadUniformColor
Indicates that the entire road surface shares a single, consistent color throughout.
-
B.
hasRouteColorStandard
chosen
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
C.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
D.
mapColorOrangeLine
Indicates that an entity is associated with, represented by, or rendered using the color of the orange line on a map.
-
E.
mapColorYellowLine
Indicates that a map feature is represented or highlighted using a yellow line.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08e7b248190a6bb0f6999f99c23 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:08 p.m.