Triple
T24758560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRD Pro |
E619362
|
entity |
| Predicate | typicalColorOptionsInclude |
P14111
|
FINISHED |
| Object | exclusive TRD Pro colors |
—
|
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: exclusive TRD Pro colors | Statement: [TRD Pro, typicalColorOptionsInclude, exclusive TRD Pro colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorOptionsInclude Context triple: [TRD Pro, typicalColorOptionsInclude, exclusive TRD Pro colors]
-
A.
hasColorOption
chosen
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
C.
laterColorOption
Indicates that one color option occurs or becomes available after another in a sequence or ordering.
-
D.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
E.
containsColor
Indicates that one entity includes or exhibits the color specified by another entity.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 18, 2026, 4:26 a.m.