Triple
T21465802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American black-footed ferret |
E529590
|
entity |
| Predicate | shelterSource |
P81227
|
FINISHED |
| Object | prairie dog burrows |
—
|
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: prairie dog burrows | Statement: [American black-footed ferret, shelterSource, prairie dog burrows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shelterSource Context triple: [American black-footed ferret, shelterSource, prairie dog burrows]
-
A.
shelterType
Indicates the kind or category of shelter associated with an entity (e.g., tent, house, bunker).
-
B.
shelterName
Indicates the name assigned to a particular shelter in the relationship.
-
C.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
D.
rescuesFrom
Indicates that one entity saves or frees another entity from a dangerous, harmful, or undesirable situation or source.
-
E.
shelterBehavior
chosen
Indicates how an entity behaves in relation to seeking, using, or providing shelter in a given context.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f1b3cc819092c200f09c6f461e |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.