Triple
T281078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J |
E5354
|
entity |
| Predicate | hasRouteColorStandard |
P9560
|
FINISHED |
| Object | MTA trunk line color scheme |
—
|
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: MTA trunk line color scheme | Statement: [J, hasRouteColorStandard, MTA trunk line color scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteColorStandard Context triple: [J, hasRouteColorStandard, MTA trunk line color scheme]
-
A.
hasLiturgicalColor
Indicates that something is associated with a specific liturgical color used in religious rites or ceremonies.
-
B.
hasLanes
Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
secondaryBranchColor
Indicates the color assigned to a secondary or subordinate branch in relation to a primary branch.
-
E.
isPartOfRoute
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e06dd7c8190a8cbb76cee3c6e4b |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.