Triple
T5540589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azerbaijani manat |
E145277
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | AZN |
E505477
|
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: AZN | Statement: [Azerbaijani manat, ISO4217Code, AZN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZN Context triple: [Azerbaijani manat, ISO4217Code, AZN]
-
A.
AZN
AZN is the IATA airport code for Andijan Airport, a regional air transport hub serving the city of Andijan in eastern Uzbekistan.
-
B.
AZN
chosen
AZN is the stock ticker symbol for AstraZeneca, a major global biopharmaceutical company known for developing prescription medicines across several therapeutic areas.
-
C.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
D.
AZD
AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
-
E.
AZO
AZO is the stock ticker symbol for AutoZone, a major American retailer and distributor of automotive replacement parts and accessories.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc66cc08190b9b2a62098ecbdb1 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0281bfcc48190a0e4e51b4dca5a4b |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.