Triple

T2207137
Position Surface form Disambiguated ID Type / Status
Subject Kvik Halden FK E50825 entity
Predicate homeStadium P890 FINISHED
Object Halden stadion
Halden stadion is a football stadium in Halden, Norway, primarily known as the home ground of the club Kvik Halden FK.
E246415 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: Halden stadion | Statement: [Kvik Halden FK, homeStadium, Halden stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halden stadion
Context triple: [Kvik Halden FK, homeStadium, Halden stadion]
  • A. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • B. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • C. Ullevaal Stadion
    Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
  • D. Ullevi Stadium
    Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
  • E. Lillehammer Olympiapark
    Lillehammer Olympiapark is the organization that manages and maintains the sports venues and facilities built for the 1994 Winter Olympics in Lillehammer, Norway.
  • 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: Halden stadion
Triple: [Kvik Halden FK, homeStadium, Halden stadion]
Generated description
Halden stadion is a football stadium in Halden, Norway, primarily known as the home ground of the club Kvik Halden FK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halden stadion
Target entity description: Halden stadion is a football stadium in Halden, Norway, primarily known as the home ground of the club Kvik Halden FK.
  • A. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • B. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • C. Ullevaal Stadion
    Ullevaal Stadion is Norway’s national football stadium and a major sports and events arena located in Oslo.
  • D. Ullevi Stadium
    Ullevi Stadium is a major multi-purpose arena in Gothenburg, Sweden, known for hosting large football matches, athletics events, and concerts.
  • E. Lillehammer Olympiapark
    Lillehammer Olympiapark is the organization that manages and maintains the sports venues and facilities built for the 1994 Winter Olympics in Lillehammer, Norway.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b31eccc81908fbcc80f72e65df8 completed March 9, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bd2856c81909033efe74039c258 completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:46 p.m.