Triple
T4844243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | black-footed ferret recovery program |
E108250
|
entity |
| Predicate | primaryHabitatType |
P964
|
FINISHED |
| Object | prairie grasslands |
—
|
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 grasslands | Statement: [black-footed ferret recovery program, primaryHabitatType, prairie grasslands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHabitatType Context triple: [black-footed ferret recovery program, primaryHabitatType, prairie grasslands]
-
A.
primaryEcosystem
chosen
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
B.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
C.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
D.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
E.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.