Triple
T30191985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caviomorpha |
E767514
|
entity |
| Predicate | containsLargestRodent |
P73618
|
FINISHED |
| Object | Hydrochoerus hydrochaeris |
—
|
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: Hydrochoerus hydrochaeris | Statement: [Caviomorpha, containsLargestRodent, Hydrochoerus hydrochaeris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLargestRodent Context triple: [Caviomorpha, containsLargestRodent, Hydrochoerus hydrochaeris]
-
A.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
B.
hasApproximateNumberOfRats
Indicates that an entity is associated with an estimated or imprecise count of rats rather than an exact number.
-
C.
hasLargestSpecies
chosen
Indicates that one entity possesses, contains, or is associated with the species that is largest in size or extent within a given group or context.
-
D.
hasSubterraneanCreatures
Indicates that an entity contains, harbors, or is associated with creatures living beneath the ground or surface.
-
E.
isMarsupial
Indicates that the subject belongs to the group of animals that carry and nurse their young in a pouch.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
Created at: April 29, 2026, 7:29 p.m.