Triple
T37712659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equus ferus caballus |
E939380
|
entity |
| Predicate | coatVariation |
P48712
|
FINISHED |
| Object | multiple colors and patterns |
—
|
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 and patterns | Statement: [Equus ferus caballus, coatVariation, multiple colors and patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatVariation Context triple: [Equus ferus caballus, coatVariation, multiple colors and patterns]
-
A.
coatCharacteristic
chosen
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
B.
dressColor
Indicates the color attribute associated with a particular dress.
-
C.
wornOnColor
Indicates that an item being worn has or is associated with a specific color.
-
D.
suitColor
Indicates that one entity has or is associated with a particular color of suit.
-
E.
coatAdaptation
Indicates that an entity’s coat or outer covering has changed or developed in response to environmental or functional conditions.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.