Triple
T32764681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierpark Berlin |
E837857
|
entity |
| Predicate | animalCollectionDiversity |
P115156
|
FINISHED |
| Object | hundreds of species |
—
|
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: hundreds of species | Statement: [Tierpark Berlin, animalCollectionDiversity, hundreds of species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCollectionDiversity Context triple: [Tierpark Berlin, animalCollectionDiversity, hundreds of species]
-
A.
animalGroupIncluded
Indicates that a particular animal is a member of, or belongs to, a specified animal group.
-
B.
speciesHome
Indicates that a particular location serves as the natural habitat or primary living environment for a given species.
-
C.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
D.
faunaDiversity
chosen
Indicates the variety and richness of animal species present within a given area or ecosystem.
-
E.
animalTypeFeatured
Indicates that a particular type or category of animal is highlighted or prominently showcased in a given context.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:13 a.m.