Triple
T24645197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursus arctos isabellinus |
E610087
|
entity |
| Predicate | usesDenType |
P93509
|
FINISHED |
| Object | earth dens |
—
|
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: earth dens | Statement: [Ursus arctos isabellinus, usesDenType, earth dens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDenType Context triple: [Ursus arctos isabellinus, usesDenType, earth dens]
-
A.
denType
chosen
Indicates the specific kind or category of den associated with an entity.
-
B.
denUse
Indicates that an entity uses or makes use of a particular den (or designated shelter/space) for its activities or habitation.
-
C.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
-
D.
usedByDenomination
Indicates that something (such as an object, practice, or concept) is employed or utilized by a particular religious denomination.
-
E.
supportsUserType
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 2:33 a.m.