Triple
T943783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of Zoos and Aquariums |
E20365
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | AZA |
E20365
|
NE 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: AZA | Statement: [Association of Zoos and Aquariums, abbreviation, AZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZA Context triple: [Association of Zoos and Aquariums, abbreviation, AZA]
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
Association of Zoos and Aquariums
chosen
The Association of Zoos and Aquariums is a professional organization that accredits and supports zoos and aquariums committed to high standards of animal care, conservation, education, and research.
-
C.
AZO
AZO is the stock ticker symbol for AutoZone, a major American retailer and distributor of automotive replacement parts and accessories.
-
D.
World Association of Zoos and Aquariums
The World Association of Zoos and Aquariums is a global organization that represents, supports, and accredits zoos and aquariums committed to conservation, animal welfare, and environmental education.
-
E.
DZA
DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e585208190bf477bf78d162e84 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.