Triple
T918672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urban Jungle |
E19829
|
entity |
| Predicate | zooSectionType |
P22361
|
FINISHED |
| Object | outdoor exhibit area |
—
|
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: outdoor exhibit area | Statement: [Urban Jungle, zooSectionType, outdoor exhibit area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zooSectionType Context triple: [Urban Jungle, zooSectionType, outdoor exhibit area]
-
A.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
B.
zooAccreditation
Indicates that an entity (such as a zoo or aquarium) holds a formal accreditation or certification from a recognized accrediting organization.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
museumSection
Indicates that one entity is a section, area, or subdivision within a museum associated with the other entity.
-
E.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2944ff88190a260be5355132ba5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.