Triple
T26576401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana black bear |
E666957
|
entity |
| Predicate | usesDen |
P93510
|
FINISHED |
| Object | tree cavities |
—
|
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: tree cavities | Statement: [Louisiana black bear, usesDen, tree cavities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDen Context triple: [Louisiana black bear, usesDen, tree cavities]
-
A.
denUse
chosen
Indicates that an entity uses or makes use of a particular den (or designated shelter/space) for its activities or habitation.
-
B.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
C.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
D.
usableAs
Indicates that one entity can function in place of or serve the purpose of another entity.
-
E.
usesSwar
Indicates that one entity employs or applies a specific SWAR (software/semantic/web service or resource) in performing an action or fulfilling a function.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 2:01 a.m.