Triple
T3060757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camargue horse |
E61990
|
entity |
| Predicate | typicalColorAtBirth |
P28615
|
FINISHED |
| Object | dark |
—
|
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: dark | Statement: [Camargue horse, typicalColorAtBirth, dark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorAtBirth Context triple: [Camargue horse, typicalColorAtBirth, dark]
-
A.
typicalColorDescription
Indicates the usual or characteristic color associated with an entity.
-
B.
typicalCoatColor
chosen
Indicates the usual or most common coat color associated with an entity, such as an animal or breed.
-
C.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
D.
willBeBornAs
Indicates that an entity is predicted or destined to come into existence in the future as a particular individual or form.
-
E.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color 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_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. |
Created at: March 8, 2026, 3:02 p.m.