Triple

T20017875
Position Surface form Disambiguated ID Type / Status
Subject Ulsteinvik E494768 entity
Predicate hasStadium P105 FINISHED
Object Høddvoll Stadion
Høddvoll Stadion is a football stadium in Ulsteinvik, Norway, best known as the home ground of the club IL Hødd.
E1407139 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: Høddvoll Stadion | Statement: [Ulsteinvik, hasStadium, Høddvoll Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Høddvoll Stadion
Context triple: [Ulsteinvik, hasStadium, Høddvoll Stadion]
  • A. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • B. Gjøvik Stadium
    Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • C. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • D. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • E. Bryne Stadion
    Bryne Stadion is a football stadium in Bryne, Norway, primarily known as the home ground of the Norwegian club Bryne FK.
  • 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: Høddvoll Stadion
Triple: [Ulsteinvik, hasStadium, Høddvoll Stadion]
Generated description
Høddvoll Stadion is a football stadium in Ulsteinvik, Norway, best known as the home ground of the club IL Hødd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Høddvoll Stadion
Target entity description: Høddvoll Stadion is a football stadium in Ulsteinvik, Norway, best known as the home ground of the club IL Hødd.
  • A. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • B. Gjøvik Stadium
    Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • C. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • D. Sarpsborg Stadion
    Sarpsborg Stadion is a football stadium in Sarpsborg, Norway, primarily used as the home ground of the club Sarpsborg 08 FF.
  • E. Bryne Stadion
    Bryne Stadion is a football stadium in Bryne, Norway, primarily known as the home ground of the Norwegian club Bryne FK.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e286230819097e564d028e73ab5 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080ef87f08819091b4a76009b1c4ba completed May 16, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_6a080f8bb81c819098d39ad6e1642aa8 completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:34 p.m.