Triple
T23627692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | culpeo fox |
E583512
|
entity |
| Predicate | muzzle |
P115810
|
FINISHED |
| Object | relatively short and robust |
—
|
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: relatively short and robust | Statement: [culpeo fox, muzzle, relatively short and robust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: muzzle Context triple: [culpeo fox, muzzle, relatively short and robust]
-
A.
muzzleType
chosen
Indicates the specific style or configuration of a muzzle associated with an entity, such as a weapon or animal.
-
B.
hasMuzzle
Indicates that one entity possesses or is equipped with a muzzle, typically as a restraining or protective device.
-
C.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
-
D.
mouthpieceOf
Indicates that one entity serves as the spokesperson or public voice expressing the views or positions of another entity.
-
E.
protectsMouthOf
Indicates that one entity serves to guard, cover, or shield the opening or entrance of another 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1e4df248190ac38e4e025bd1140 |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.