Triple
T4923383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Olympic Committee of Azerbaijan |
E110517
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
AZE NOC
AZE NOC is the National Olympic Committee responsible for organizing Azerbaijan’s participation in the Olympic Games and promoting the Olympic movement within the country.
|
E480086
|
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: AZE NOC | Statement: [National Olympic Committee of Azerbaijan, hasAbbreviation, AZE NOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZE NOC Context triple: [National Olympic Committee of Azerbaijan, hasAbbreviation, AZE NOC]
-
A.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
B.
El Nozha
El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
-
C.
AZO
AZO is the stock ticker symbol for AutoZone, a major American retailer and distributor of automotive replacement parts and accessories.
-
D.
NAZ
NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
-
E.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
- 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: AZE NOC Triple: [National Olympic Committee of Azerbaijan, hasAbbreviation, AZE NOC]
Generated description
AZE NOC is the National Olympic Committee responsible for organizing Azerbaijan’s participation in the Olympic Games and promoting the Olympic movement within the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AZE NOC Target entity description: AZE NOC is the National Olympic Committee responsible for organizing Azerbaijan’s participation in the Olympic Games and promoting the Olympic movement within the country.
-
A.
AZU
AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
-
B.
El Nozha
El Nozha is a residential district in northeastern Cairo, Egypt, known for its middle-class neighborhoods and proximity to Cairo International Airport.
-
C.
AZO
AZO is the stock ticker symbol for AutoZone, a major American retailer and distributor of automotive replacement parts and accessories.
-
D.
NAZ
NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
-
E.
ZAZ
ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffd46748190843fed99f02fd8d5 |
completed | March 20, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77a6e1648190921487e3d81441b3 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be78292a988190ba51886095629b9c |
completed | March 21, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7892b34c819095100b14a80d6fa4 |
completed | March 21, 2026, 10:53 a.m. |
Created at: March 20, 2026, 1:30 p.m.