Triple
T6983832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melursus ursinus |
E161911
|
entity |
| Predicate | hasMuzzle |
P74290
|
FINISHED |
| Object | pale muzzle |
—
|
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: pale muzzle | Statement: [Melursus ursinus, hasMuzzle, pale muzzle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuzzle Context triple: [Melursus ursinus, hasMuzzle, pale muzzle]
-
A.
muzzleVelocity
Indicates the speed at which a projectile leaves the muzzle of a firearm or similar weapon at the moment it is fired.
-
B.
hasChamber
Indicates that one entity possesses, contains, or is associated with a distinct enclosed space or compartment (a chamber).
-
C.
hasTusk
Indicates that an entity possesses one or more tusks as a physical feature.
-
D.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
E.
bayonetMount
Indicates that one object is equipped with or designed to accept a bayonet-style mounting connection to 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dbbc00fc8190a18221524b774021 |
completed | March 27, 2026, 7:34 p.m. |
Created at: March 27, 2026, 2:31 p.m.