Triple
T9672379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cetancodonta |
E234058
|
entity |
| Predicate | containsTerrestrialMammals |
P49509
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cetancodonta, containsTerrestrialMammals, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTerrestrialMammals Context triple: [Cetancodonta, containsTerrestrialMammals, yes]
-
A.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
-
B.
hasMammalSpecies
chosen
Indicates that one entity includes, contains, or is associated with a particular mammal species as part of its composition, population, or classification.
-
C.
containsMostMammalSpecies
Indicates that one entity includes a greater number of mammal species within it than any comparable entity in the given context.
-
D.
containsWildSpecies
Indicates that one entity includes, houses, or encompasses wild (non-domesticated) species within its scope or boundaries.
-
E.
containsDomesticSpecies
Indicates that one entity includes or encompasses at least one species that has been domesticated by humans.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b5d40c8190850ad7a351445f32 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:15 p.m.