Triple
T7160596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F (New York City Subway service) |
E166931
|
entity |
| Predicate | trunkLineColorFamily |
P21448
|
FINISHED |
| Object | IND Sixth Avenue Line services |
—
|
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: IND Sixth Avenue Line services | Statement: [F (New York City Subway service), trunkLineColorFamily, IND Sixth Avenue Line services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trunkLineColorFamily Context triple: [F (New York City Subway service), trunkLineColorFamily, IND Sixth Avenue Line services]
-
A.
trunkLineColorRepresents
Indicates that the color of a trunk line is used to signify or encode a particular meaning, status, or category associated with that line.
-
B.
trunkColorFamily
chosen
Indicates the general color category or family to which an object's trunk (such as a tree or vehicle trunk) belongs.
-
C.
trunkColorSharedWith
Indicates that two entities share the same trunk color.
-
D.
trunkColorDesignation
Indicates the specified color assigned to the trunk of an object (such as a tree or similar structure).
-
E.
colorOfTrailMarkings
Indicates the relationship specifying what color the trail’s markings are.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.