Triple
T3060759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camargue horse |
E61990
|
entity |
| Predicate | typicalColorChange |
P44865
|
FINISHED |
| Object | lightensToGrayWithAge |
—
|
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: lightensToGrayWithAge | Statement: [Camargue horse, typicalColorChange, lightensToGrayWithAge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorChange Context triple: [Camargue horse, typicalColorChange, lightensToGrayWithAge]
-
A.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
B.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
C.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
D.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color entity.
-
E.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
- F. None of above. chosen
Provenance (4 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9e1e248190b5ed5ebcdad1321e |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.