Triple
T20679687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Match AB |
E508256
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
SWMA
SWMA is the stock ticker symbol for Swedish Match AB, a Swedish company known for producing snus, nicotine pouches, and other tobacco-related products.
|
E1444025
|
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: SWMA | Statement: [Swedish Match AB, tickerSymbol, SWMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SWMA Context triple: [Swedish Match AB, tickerSymbol, SWMA]
-
A.
SWMP
SWMP (System-Wide Monitoring Program) is a long-term environmental monitoring initiative that tracks water quality, weather, and ecological conditions across the National Estuarine Research Reserve System.
-
B.
SWM
SWM is the municipal utility company of Munich, Germany, responsible for providing services such as energy, water, and public transportation.
-
C.
SWMF
SWMF was a major British trade union representing coal miners in South Wales, influential in labor politics and industrial relations during the late 19th and 20th centuries.
-
D.
SWW
SWW is the common abbreviation for the Schwenninger Wild Wings, a professional ice hockey team based in Schwenningen, Germany.
-
E.
WMSA
WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
- 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: SWMA Triple: [Swedish Match AB, tickerSymbol, SWMA]
Generated description
SWMA is the stock ticker symbol for Swedish Match AB, a Swedish company known for producing snus, nicotine pouches, and other tobacco-related products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SWMA Target entity description: SWMA is the stock ticker symbol for Swedish Match AB, a Swedish company known for producing snus, nicotine pouches, and other tobacco-related products.
-
A.
SWMP
SWMP (System-Wide Monitoring Program) is a long-term environmental monitoring initiative that tracks water quality, weather, and ecological conditions across the National Estuarine Research Reserve System.
-
B.
SWM
SWM is the municipal utility company of Munich, Germany, responsible for providing services such as energy, water, and public transportation.
-
C.
SWMF
SWMF was a major British trade union representing coal miners in South Wales, influential in labor politics and industrial relations during the late 19th and 20th centuries.
-
D.
SWW
SWW is the common abbreviation for the Schwenninger Wild Wings, a professional ice hockey team based in Schwenningen, Germany.
-
E.
WMSA
WMSA is the ICAO airport code for Sultan Abdul Aziz Shah Airport, a secondary airport serving the Kuala Lumpur area in Malaysia.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6cb9f88190a3bdd3d353b78eb0 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.