Triple
T7729077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catarrhini |
E175204
|
entity |
| Predicate | nostrilOrientation |
P78829
|
FINISHED |
| Object | downward-facing |
—
|
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: downward-facing | Statement: [Catarrhini, nostrilOrientation, downward-facing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nostrilOrientation Context triple: [Catarrhini, nostrilOrientation, downward-facing]
-
A.
noseType
Indicates the specific shape or classification of a nose that an entity possesses.
-
B.
snoutType
Indicates the type or form of an entity’s snout in relation to its overall morphology.
-
C.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color entity.
-
D.
noseleaf
Indicates that an entity possesses or is characterized by a specialized leaf-like structure on or around the nose, typically associated with certain animals (such as bats).
-
E.
fromNoseCame
Indicates that something originated from or was expelled out of a nose.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:06 p.m.