Triple
T19918556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorillas of the African Forest |
E478728
|
entity |
| Predicate | mainSpeciesExhibited |
P22362
|
FINISHED |
| Object | western lowland gorilla |
—
|
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: western lowland gorilla | Statement: [Gorillas of the African Forest, mainSpeciesExhibited, western lowland gorilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSpeciesExhibited Context triple: [Gorillas of the African Forest, mainSpeciesExhibited, western lowland gorilla]
-
A.
hasExhibitSpecies
chosen
Indicates that an exhibit or display includes or features a particular species.
-
B.
animalExhibits
Indicates that an animal displays, shows, or demonstrates a particular behavior, trait, or characteristic.
-
C.
zooSpecialization
Indicates that one entity is a zoo whose primary focus or expertise is specialized in the type, category, or group represented by the other entity.
-
D.
hasAssociatedAnimalExhibit
Indicates that an entity is linked to a specific animal exhibit that is related or relevant to it.
-
E.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c3d990819089386d9f30323e8c |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.