Triple
T16975448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sable antelope |
E411797
|
entity |
| Predicate | facialMarkings |
P125456
|
FINISHED |
| Object | white facial stripes |
—
|
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: white facial stripes | Statement: [Sable antelope, facialMarkings, white facial stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facialMarkings Context triple: [Sable antelope, facialMarkings, white facial stripes]
-
A.
hasFacePaintColor
Indicates that an entity’s face paint is of a specified color.
-
B.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
C.
isOnFace
Indicates that one entity is located directly on the surface or face of another entity.
-
D.
skinCharacteristic
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
E.
leafMarkings
Indicates the presence, pattern, or characteristics of markings found on the surface of a leaf.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:31 a.m.