Triple
T785603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G train |
E16593
|
entity |
| Predicate | lineDesignationColorStandard |
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: [G train, lineDesignationColorStandard, MTA trunk line color scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDesignationColorStandard Context triple: [G train, lineDesignationColorStandard, MTA trunk line color scheme]
-
A.
lineStandard
Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
-
B.
hasRouteColorStandard
chosen
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
C.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
-
D.
serviceBranchColor
Indicates the specific color associated with a particular branch of service (e.g., military or organizational branch) as its identifying or representative color.
-
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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a76b0d6c8190a09b1a0bd4a6eeec |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:38 p.m.