Triple
T12043795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona Sports and Tourism Authority |
E286731
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
AZSTA
AZSTA is a public authority in Arizona that oversees funding and development for major sports venues and tourism-related projects in the state.
|
E961142
|
NE FINISHED |
How this triple was built (4 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: AZSTA | Statement: [Arizona Sports and Tourism Authority, abbreviation, AZSTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZSTA Context triple: [Arizona Sports and Tourism Authority, abbreviation, AZSTA]
-
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.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
E.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AZSTA Triple: [Arizona Sports and Tourism Authority, abbreviation, AZSTA]
Generated description
AZSTA is a public authority in Arizona that oversees funding and development for major sports venues and tourism-related projects in the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AZSTA Target entity description: AZSTA is a public authority in Arizona that oversees funding and development for major sports venues and tourism-related projects in the state.
-
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.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
E.
AZ
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
- F. None of above. chosen
Provenance (5 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49db574bc8190a0f2f858a2ff788d |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.