Triple
T24862087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trailhawk |
E622178
|
entity |
| Predicate | typicalColorAccents |
P7182
|
FINISHED |
| Object | red exterior accents |
—
|
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: red exterior accents | Statement: [Trailhawk, typicalColorAccents, red exterior accents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorAccents Context triple: [Trailhawk, typicalColorAccents, red exterior accents]
-
A.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
B.
accentColor
Indicates the color used as a highlight or emphasis within a visual design or interface.
-
C.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
D.
colorCompatibility
Indicates whether the colors associated with the entities can be used together harmoniously or without conflict.
-
E.
colorOftenUsed
chosen
Indicates that a particular color is frequently used or commonly applied in relation to something.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 18, 2026, 5:22 a.m.