Triple
T10957173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippopotamoidea |
E258875
|
entity |
| Predicate | includesTaxaWithBodyMassRange |
P96820
|
FINISHED |
| Object | from small to very large ungulates |
—
|
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: from small to very large ungulates | Statement: [Hippopotamoidea, includesTaxaWithBodyMassRange, from small to very large ungulates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTaxaWithBodyMassRange Context triple: [Hippopotamoidea, includesTaxaWithBodyMassRange, from small to very large ungulates]
-
A.
includesTaxaWith
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
-
B.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
C.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
D.
biomeIncludes
Indicates that a biome contains or encompasses a particular entity, such as a species, habitat, or environmental feature, as part of its composition.
-
E.
hasTaxonomicRankAbove
Indicates that one taxonomic rank is hierarchically higher (more inclusive) than another in a classification system.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.