Triple
T8551634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | forest guineafowl |
E202456
|
entity |
| Predicate | microhabitatPreference |
P25732
|
FINISHED |
| Object | dense undergrowth |
—
|
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: dense undergrowth | Statement: [forest guineafowl, microhabitatPreference, dense undergrowth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: microhabitatPreference Context triple: [forest guineafowl, microhabitatPreference, dense undergrowth]
-
A.
preferredHabitat
Indicates the type of environment or habitat in which an entity most commonly lives or thrives.
-
B.
microhabitat
chosen
Indicates a specific, localized habitat or environmental niche within a larger habitat where an organism lives or an interaction occurs.
-
C.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
D.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
E.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.