Triple
T22463218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVEVA |
E555281
|
entity |
| Predicate | hasTickerSymbol |
P1447
|
FINISHED |
| Object |
AVV
AVV is the stock ticker symbol for AVEVA Group, a British multinational software company specializing in engineering and industrial design solutions.
|
E1538221
|
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: AVV | Statement: [AVEVA, hasTickerSymbol, AVV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVV Context triple: [AVEVA, hasTickerSymbol, AVV]
-
A.
AVV
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
-
B.
AV.
AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
-
C.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
D.
AV
AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
-
E.
AV
AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
- 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: AVV Triple: [AVEVA, hasTickerSymbol, AVV]
Generated description
AVV is the stock ticker symbol for AVEVA Group, a British multinational software company specializing in engineering and industrial design solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVV Target entity description: AVV is the stock ticker symbol for AVEVA Group, a British multinational software company specializing in engineering and industrial design solutions.
-
A.
AVV
AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
-
B.
AV.
AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
-
C.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
D.
AV
AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
-
E.
AV
AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c8433348190894a06439b3461ed |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0f24bb9c81909d2e5b08ff081ad0 |
completed | May 18, 2026, 1:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b100675688190b493cc73e0d778fc |
completed | May 18, 2026, 1:11 p.m. |
Created at: April 16, 2026, 8:48 p.m.