Triple
T1242592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitbit Ace series |
E26690
|
entity |
| Predicate | hasColorOptions |
P14111
|
FINISHED |
| Object | multiple 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: multiple colors | Statement: [Fitbit Ace series, hasColorOptions, multiple colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOptions Context triple: [Fitbit Ace series, hasColorOptions, multiple colors]
-
A.
hasColorOption
chosen
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
C.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
-
D.
hasBodyColor
Indicates that an entity possesses a particular body color as one of its attributes.
-
E.
hasVestmentColor
Indicates that an entity is associated with or characterized by a specific color of vestment.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf61fadc8190b7b9e23eaa15a61d |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.