Triple
T24989814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-10 |
E625414
|
entity |
| Predicate | appliesToLineColor |
P34402
|
FINISHED |
| Object | Tozai Line color (sky 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: Tozai Line color (sky blue) | Statement: [T-10, appliesToLineColor, Tozai Line color (sky blue)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToLineColor Context triple: [T-10, appliesToLineColor, Tozai Line color (sky blue)]
-
A.
servedByLineColor
Indicates that a transit service or route is operated using vehicles or infrastructure associated with a specific line color.
-
B.
usesTrunkLineColor
Indicates that one entity adopts or applies the trunk line color associated with another entity or system.
-
C.
isColorCodedLine
Indicates that a line is represented or distinguished using specific colors according to a coding scheme.
-
D.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
E.
hasTrimLineColor
Indicates that an entity has a specific color applied to the trim or outline portion of its visual representation.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 18, 2026, 6:03 a.m.