Triple
T32269856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H5 subway cars |
E824386
|
entity |
| Predicate | interiorColorScheme |
P77445
|
FINISHED |
| Object | orange |
—
|
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: orange | Statement: [H5 subway cars, interiorColorScheme, orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorColorScheme Context triple: [H5 subway cars, interiorColorScheme, orange]
-
A.
hasInteriorColor
chosen
Indicates that an entity possesses a specific color used on its interior surfaces or internal parts.
-
B.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
C.
entranceColorScheme
Indicates the color arrangement or palette used for an entrance area in relation to a space or structure.
-
D.
façadeColorScheme
Indicates the relationship specifying the color arrangement or palette applied to the exterior façade of a structure.
-
E.
homeColorsDominant
Indicates that the primary or most prominent colors associated with a subject’s home (such as a team’s home uniform or a building’s main color scheme) are specified or emphasized.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 12:42 a.m.