Triple
T6759414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Subway 6 line |
E154552
|
entity |
| Predicate | routeColorHex |
P69958
|
FINISHED |
| Object | #00933C |
—
|
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: #00933C | Statement: [New York City Subway 6 line, routeColorHex, #00933C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeColorHex Context triple: [New York City Subway 6 line, routeColorHex, #00933C]
-
A.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
B.
hasColorOnRouteMap
chosen
Indicates that a specific color is used to represent an entity (such as a route or line) on a route map.
-
C.
roadUniformColor
Indicates that the entire road surface shares a single, consistent color throughout.
-
D.
mapColor_RedLine
Indicates that a map element is represented or highlighted using a red line.
-
E.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.