Triple
T5556828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipotes |
E145663
|
entity |
| Predicate | hasVertebrateType |
P25733
|
FINISHED |
| Object | mammal |
—
|
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: mammal | Statement: [Lipotes, hasVertebrateType, mammal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVertebrateType Context triple: [Lipotes, hasVertebrateType, mammal]
-
A.
hasMammalSpecies
Indicates that one entity includes, contains, or is associated with a particular mammal species as part of its composition, population, or classification.
-
B.
majorityOfVertebrates
Indicates that a specified property, condition, or characteristic holds for more than half of the members within the group of vertebrate animals.
-
C.
hasPhylum
Indicates that an entity (typically a biological taxon or organism) is classified as belonging to a particular phylum in a taxonomic hierarchy.
-
D.
vertebrate
chosen
Indicates that the subject is an animal possessing a backbone or spinal column.
-
E.
hasPrimate
Indicates that one entity possesses, contains, or is associated with a primate.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffe12cc81908186f28ace0f4d82 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.