Triple

T9638702
Position Surface form Disambiguated ID Type / Status
Subject Sandviken Municipality E233001 entity
Predicate hasSportsClub P346 FINISHED
Object Sandvikens IF
Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
E811433 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: Sandvikens IF | Statement: [Sandviken Municipality, hasSportsClub, Sandvikens IF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandvikens IF
Context triple: [Sandviken Municipality, hasSportsClub, Sandvikens IF]
  • A. Segeltorps IF
    Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
  • B. Östers IF
    Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
  • C. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • D. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • E. IFK Lidingö
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • 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: Sandvikens IF
Triple: [Sandviken Municipality, hasSportsClub, Sandvikens IF]
Generated description
Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandvikens IF
Target entity description: Sandvikens IF is a Swedish sports club best known for its football team, which has a long tradition and regional significance in Sandviken.
  • A. Segeltorps IF
    Segeltorps IF is a Swedish multi-sport club best known for its ice hockey and football teams based in the Segeltorp area of Huddinge, near Stockholm.
  • B. Östers IF
    Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
  • C. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • D. Lidingö SK
    Lidingö SK is a Swedish multi-sport club based in Lidingö, known especially for its athletics and orienteering activities.
  • E. IFK Lidingö
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b532aa4819087b56be6f5635126 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18243cfdc81908ecdf039c38de478 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d182cb723881909f29b6a875e99da1 completed April 4, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_69d1833692788190990ad426b6502488 completed April 4, 2026, 9:31 p.m.
Created at: March 30, 2026, 8:11 p.m.