Triple
T6983830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melursus ursinus |
E161911
|
entity |
| Predicate | hasCoat |
P48712
|
FINISHED |
| Object | shaggy fur |
—
|
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: shaggy fur | Statement: [Melursus ursinus, hasCoat, shaggy fur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoat Context triple: [Melursus ursinus, hasCoat, shaggy fur]
-
A.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
B.
coatCharacteristic
chosen
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
C.
hasApron
Indicates that one entity possesses or is wearing an apron in relation to another context or entity.
-
D.
hasApronType
Indicates that an entity is associated with or characterized by a specific type or category of apron.
-
E.
hasMilitaryApron
Indicates that a location or facility includes a designated apron area specifically used for military aircraft operations.
- 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_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. |
Created at: March 27, 2026, 2:31 p.m.