Triple
T13852424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazinga National Park |
E332976
|
entity |
| Predicate | mammalSpeciesCountApprox |
P6211
|
FINISHED |
| Object | about 95 |
—
|
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: about 95 | Statement: [Kazinga National Park, mammalSpeciesCountApprox, about 95]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mammalSpeciesCountApprox Context triple: [Kazinga National Park, mammalSpeciesCountApprox, about 95]
-
A.
containsMostMammalSpecies
Indicates that one entity includes a greater number of mammal species within it than any comparable entity in the given context.
-
B.
hasMammalSpecies
Indicates that one entity includes, contains, or is associated with a particular mammal species as part of its composition, population, or classification.
-
C.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
D.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
E.
majorMammalGroups
Indicates that the related entities are classified into the primary evolutionary or taxonomic groupings of mammals.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.