Triple
T14917926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgers' Bush |
E371428
|
entity |
| Predicate | zooSectionOf |
P22356
|
FINISHED |
| Object | Royal Burgers' Zoo ecological exhibits |
—
|
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: Royal Burgers' Zoo ecological exhibits | Statement: [Burgers' Bush, zooSectionOf, Royal Burgers' Zoo ecological exhibits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zooSectionOf Context triple: [Burgers' Bush, zooSectionOf, Royal Burgers' Zoo ecological exhibits]
-
A.
zooSection
chosen
Indicates that one entity is a specific section or area within a zoo where the other entity is located, organized, or assigned.
-
B.
zooSectionType
Indicates the specific type or category of section within a zoo that an area or enclosure belongs to.
-
C.
zooType
Indicates the classification or category of a zoo, such as its type or kind.
-
D.
zooArea
Indicates that an entity is a specific area or section within a zoo where animals, exhibits, or facilities are located.
-
E.
zooAlternativeName
Indicates that a zoo is known by an alternative or additional name.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:32 a.m.