Triple
T35860181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida |
E1036923
|
entity |
| Predicate | hasStateFreshwaterMammal |
P201725
|
FINISHED |
| Object | Florida panther |
—
|
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: Florida panther | Statement: [Florida, hasStateFreshwaterMammal, Florida panther]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStateFreshwaterMammal Context triple: [Florida, hasStateFreshwaterMammal, Florida panther]
-
A.
hasFreshwaterSection
Indicates that an entity includes or contains a distinct section or area composed of freshwater.
-
B.
naturalReservoirOfNotableSpecies
Indicates that a location serves as a natural habitat or reservoir for one or more notable species.
-
C.
hasAquaticEcosystem
Indicates that an entity possesses, contains, or is associated with an ecosystem primarily based in water (such as rivers, lakes, wetlands, or oceans).
-
D.
nationalAquaticAnimalOf
Indicates that one entity is officially designated as the national aquatic animal of another entity (typically a country or region).
-
E.
stateMarineMammal
Indicates that a particular marine mammal is officially designated as the state marine mammal of a given state.
- F. None of above. chosen
Provenance (4 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0018cf6ebc8190aee6288788d0067e |
completed | May 10, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_6a001855e8588190a65840485473cf8b |
completed | May 10, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_6a0018cebf688190bbd90ac79d250182 |
completed | May 10, 2026, 5:34 a.m. |
Created at: May 3, 2026, 4:06 p.m.