Triple
T13574518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African bush elephant |
E324246
|
entity |
| Predicate | modifiesHabitatBy |
P96824
|
FINISHED |
| Object | uprooting trees |
—
|
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: uprooting trees | Statement: [African bush elephant, modifiesHabitatBy, uprooting trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiesHabitatBy Context triple: [African bush elephant, modifiesHabitatBy, uprooting trees]
-
A.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
D.
usesHabitatFeature
chosen
Indicates that an organism makes use of a particular habitat feature (such as a structure, resource, or microhabitat) as part of its behavior or life history.
-
E.
modifiesFacility
Indicates a relationship where an entity changes, updates, or alters some aspect of a facility (such as its structure, function, or configuration).
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.