Triple
T21731262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diceros bicornis |
E536409
|
entity |
| Predicate | hasUpperLipShape |
P145154
|
FINISHED |
| Object | prehensile hooked upper lip |
—
|
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: prehensile hooked upper lip | Statement: [Diceros bicornis, hasUpperLipShape, prehensile hooked upper lip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperLipShape Context triple: [Diceros bicornis, hasUpperLipShape, prehensile hooked upper lip]
-
A.
hasLips
Indicates that one entity possesses lips as a physical feature.
-
B.
hasTypeOfMouth
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
C.
hasMouthWidth
Indicates the measured horizontal extent or size of an entity’s mouth.
-
D.
mouthFormation
Indicates the specific shape or configuration the mouth takes while producing a sound or expression.
-
E.
mouthDirection
Indicates the orientation or facing direction of a mouth relative to a reference frame or another object.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0713c48190a38b3963cb3cbaf0 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:48 p.m.