Triple
T15371990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avast Software s.r.o. |
E367569
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
AVST
AVST is the stock ticker symbol for Avast, a cybersecurity company best known for its antivirus and internet security software.
|
E1152462
|
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: AVST | Statement: [Avast Software s.r.o., tickerSymbol, AVST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVST Context triple: [Avast Software s.r.o., tickerSymbol, AVST]
-
A.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
B.
AVC
AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
-
C.
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.
-
D.
AV
AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
-
E.
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.
- 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: AVST Triple: [Avast Software s.r.o., tickerSymbol, AVST]
Generated description
AVST is the stock ticker symbol for Avast, a cybersecurity company best known for its antivirus and internet security software.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AVST Target entity description: AVST is the stock ticker symbol for Avast, a cybersecurity company best known for its antivirus and internet security software.
-
A.
AVS
AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
-
B.
AVC
AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
-
C.
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.
-
D.
AV
AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
-
E.
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.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bc7dfe48190a05c2b826c7fd35c |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c51c6c081908943ddb409655ed6 |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.