Triple
T11295332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouse House |
E267434
|
entity |
| Predicate | hasTypeOfHabitatDisplay |
P22357
|
FINISHED |
| Object | desert habitat |
—
|
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: desert habitat | Statement: [Mouse House, hasTypeOfHabitatDisplay, desert habitat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHabitatDisplay Context triple: [Mouse House, hasTypeOfHabitatDisplay, desert habitat]
-
A.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
usesHabitatFeature
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.
-
D.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
-
E.
featuresHabitat
chosen
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a262e08190a7c1eacbc6019496 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.