Triple
T36847511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilyodon |
E910589
|
entity |
| Predicate | nativeFaunaOf |
P113295
|
FINISHED |
| Object | Neotropical region |
—
|
NE NERFINISHED |
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: Neotropical region | Statement: [Ilyodon, nativeFaunaOf, Neotropical region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeFaunaOf Context triple: [Ilyodon, nativeFaunaOf, Neotropical region]
-
A.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
B.
faunaOrigin
chosen
Indicates the place or source from which an animal species or population originates.
-
C.
faunaDiversity
Indicates the variety and richness of animal species present within a given area or ecosystem.
-
D.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
E.
basedOnAnimalNativeTo
Indicates that something is derived from, inspired by, or modeled after an animal that is native to a specified geographic region.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.