Triple
T3211879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arignar Anna Zoological Park |
E67298
|
entity |
| Predicate | zooType |
P46223
|
FINISHED |
| Object | large-area zoo |
—
|
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: large-area zoo | Statement: [Arignar Anna Zoological Park, zooType, large-area zoo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zooType Context triple: [Arignar Anna Zoological Park, zooType, large-area zoo]
-
A.
zooSectionType
Indicates the specific type or category of section within a zoo that an area or enclosure belongs to.
-
B.
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.
-
C.
zooSection
Indicates that one entity is a specific section or area within a zoo where the other entity is located, organized, or assigned.
-
D.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
E.
zooAccreditation
Indicates that an entity (such as a zoo or aquarium) holds a formal accreditation or certification from a recognized accrediting organization.
- F. None of above. chosen
Provenance (4 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.