Triple
T428201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ball Zoo |
E9655
|
entity |
| Predicate | animalCollectionIncludes |
P10920
|
FINISHED |
| Object | mammals |
—
|
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: mammals | Statement: [John Ball Zoo, animalCollectionIncludes, mammals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCollectionIncludes Context triple: [John Ball Zoo, animalCollectionIncludes, mammals]
-
A.
numberOfAnimals
Indicates the quantity of animals associated with a given entity or context.
-
B.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
C.
someSpeciesAre
Indicates that at least one member of a specified group or category belongs to, or can be classified as, a particular species.
-
D.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
-
E.
includesSpecies
chosen
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd7a3608190b8785c7b7205f6c1 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.