Triple
T4092518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AutoZone, Inc. |
E87734
|
entity |
| Predicate | stockExchangeTicker |
P1447
|
FINISHED |
| Object | AZO |
E87734
|
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: AZO | Statement: [AutoZone, Inc., stockExchangeTicker, AZO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZO Context triple: [AutoZone, Inc., stockExchangeTicker, AZO]
-
A.
AZO
chosen
AZO is the stock ticker symbol for AutoZone, a major American retailer and distributor of automotive replacement parts and accessories.
-
B.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
C.
AZD
AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
-
D.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
-
E.
AZN
AZN is the IATA airport code for Andijan Airport, a regional air transport hub serving the city of Andijan in eastern Uzbekistan.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcae22a081908af65a960306b78c |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5769e8b188190a6356c325d0551ea |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:40 p.m.