Triple
T1054023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida panther |
E22760
|
entity |
| Predicate | apexPredatorIn |
P22946
|
FINISHED |
| Object | south Florida ecosystems |
—
|
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: south Florida ecosystems | Statement: [Florida panther, apexPredatorIn, south Florida ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apexPredatorIn Context triple: [Florida panther, apexPredatorIn, south Florida ecosystems]
-
A.
preysOn
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
B.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
C.
breedsIn
Indicates that an organism reproduces or carries out its breeding activities within a specified environment, habitat, or location.
-
D.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
E.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.