Triple

T20679679
Position Surface form Disambiguated ID Type / Status
Subject Swedish Match AB E508256 entity
Predicate brand P1500 FINISHED
Object Ettan
Ettan is a classic Swedish snus brand, known as one of the oldest and most traditional smokeless tobacco products in Sweden.
E1444022 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: Ettan | Statement: [Swedish Match AB, brand, Ettan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ettan
Context triple: [Swedish Match AB, brand, Ettan]
  • A. Ettan
    Ettan is the third tier of the Swedish football league system, sitting below Superettan and above the regional lower divisions.
  • B. Ödeen
    Ödeen is a Swedish surname most notably borne by individuals such as Kjell Ödeen.
  • C. Eiker
    Eiker is a historic district and former parish area in Buskerud, Norway, which was later divided into the municipalities of Nedre Eiker and Øvre Eiker.
  • D. Ettal
    Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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: Ettan
Triple: [Swedish Match AB, brand, Ettan]
Generated description
Ettan is a classic Swedish snus brand, known as one of the oldest and most traditional smokeless tobacco products in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ettan
Target entity description: Ettan is a classic Swedish snus brand, known as one of the oldest and most traditional smokeless tobacco products in Sweden.
  • A. Ettan
    Ettan is the third tier of the Swedish football league system, sitting below Superettan and above the regional lower divisions.
  • B. Ödeen
    Ödeen is a Swedish surname most notably borne by individuals such as Kjell Ödeen.
  • C. Eiker
    Eiker is a historic district and former parish area in Buskerud, Norway, which was later divided into the municipalities of Nedre Eiker and Øvre Eiker.
  • D. Ettal
    Ettal is a small Bavarian village in southern Germany, known for its picturesque Alpine setting and the historic Ettal Abbey.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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.