Triple
T934914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Bunny |
E20173
|
entity |
| Predicate | hasSpeciesForm |
P17196
|
FINISHED |
| Object | rabbit |
—
|
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: rabbit | Statement: [Easter Bunny, hasSpeciesForm, rabbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesForm Context triple: [Easter Bunny, hasSpeciesForm, rabbit]
-
A.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
B.
hasOnlySpecies
Indicates that an entity is associated exclusively with a single specified species and no others.
-
C.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
D.
hasSolitarySpecies
Indicates that an entity includes or is associated with species that live or behave predominantly alone rather than in groups.
-
E.
speciesType
chosen
Indicates the specific biological species category to which an entity belongs.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.