Triple
T18080216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Park Zoo |
E432667
|
entity |
| Predicate | accreditation |
P117
|
FINISHED |
| Object | AZA |
—
|
NE NERFINISHED |
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: AZA | Statement: [Cameron Park Zoo, accreditation, AZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZA Context triple: [Cameron Park Zoo, accreditation, AZA]
-
A.
AZA
AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
-
B.
AZA
AZA is the commonly used abbreviation for the Cincinnati Zoo & Botanical Garden, a major zoological park and botanical garden in Cincinnati, Ohio.
-
C.
AZA
AZA is the IATA airport code for Phoenix–Mesa Gateway Airport, a commercial and general aviation airport serving the Phoenix metropolitan area in Arizona, United States.
-
D.
AZA
chosen
AZA (the Association of Zoos and Aquariums) is a professional organization in North America that sets rigorous standards and grants accreditation to zoos and aquariums for animal care, conservation, and education.
-
E.
ZAA
ZAA is the professional body representing zoos and aquariums in Australasia, promoting animal welfare, conservation, and education across its member institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.