Triple
T6305436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokosuka Line |
E141362
|
entity |
| Predicate | hasColorOnRouteMap |
P69958
|
FINISHED |
| Object | dark 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: dark blue | Statement: [Yokosuka Line, hasColorOnRouteMap, dark blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnRouteMap Context triple: [Yokosuka Line, hasColorOnRouteMap, dark blue]
-
A.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
B.
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).
-
C.
mapColor
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
D.
mapColor_RedLine
Indicates that a map element is represented or highlighted using a red line.
-
E.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
- F. None of above. chosen
Provenance (4 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06479acec819090306a155a03b774 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:28 p.m.