Triple
T3183897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasmanian devil |
E66653
|
entity |
| Predicate | largestSurvivingMarsupialCarnivore |
P28614
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tasmanian devil, largestSurvivingMarsupialCarnivore, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestSurvivingMarsupialCarnivore Context triple: [Tasmanian devil, largestSurvivingMarsupialCarnivore, true]
-
A.
apexPredatorIn
Indicates that an entity is the top predator within a specified environment, ecosystem, or location, facing no regular natural predators there.
-
B.
carnivorousType
Indicates that one entity is a type or category of organism that feeds primarily on other animals (is carnivorous).
-
C.
lionPosition
Indicates the spatial location or placement of a lion relative to a reference frame or environment.
-
D.
largestLiving
chosen
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
E.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.