Triple
T910153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W train |
E19639
|
entity |
| Predicate | trunkColorFamily |
P21448
|
FINISHED |
| Object | Broadway Line (yellow) 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: Broadway Line (yellow) services | Statement: [W train, trunkColorFamily, Broadway Line (yellow) services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trunkColorFamily Context triple: [W train, trunkColorFamily, Broadway Line (yellow) services]
-
A.
trunkColorDesignation
Indicates the specified color assigned to the trunk of an object (such as a tree or similar structure).
-
B.
trunkColorSharedWith
Indicates that two entities share the same trunk color.
-
C.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
-
D.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
-
E.
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.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b2f4e3fc81908c8a2d1fbef9c5d2 |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:39 p.m.