Triple

T6156325
Position Surface form Disambiguated ID Type / Status
Subject Majorstuen E137329 entity
Predicate hasLandmark P105 FINISHED
Object Frogner stadion
Frogner stadion is a sports stadium in Oslo, Norway, best known for its historic speed skating rink and multi-use sports facilities.
E573429 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: Frogner stadion | Statement: [Majorstuen, hasLandmark, Frogner stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frogner stadion
Context triple: [Majorstuen, hasLandmark, Frogner stadion]
  • A. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • B. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • C. Gjøvik Stadium
    Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • 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. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • 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: Frogner stadion
Triple: [Majorstuen, hasLandmark, Frogner stadion]
Generated description
Frogner stadion is a sports stadium in Oslo, Norway, best known for its historic speed skating rink and multi-use sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frogner stadion
Target entity description: Frogner stadion is a sports stadium in Oslo, Norway, best known for its historic speed skating rink and multi-use sports facilities.
  • A. Vålerenga Stadion
    Vålerenga Stadion is a football stadium in Oslo, Norway, serving as the home ground of the Vålerenga Fotball club.
  • B. Aker Stadion
    Aker Stadion is a football stadium in Molde, Norway, best known as the home ground of the Norwegian club Molde FK.
  • C. Gjøvik Stadium
    Gjøvik Stadium is a sports arena in Gjøvik, Norway, primarily used for football and athletics events.
  • 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. Nadderud Stadion
    Nadderud Stadion is a football stadium in Bærum, Norway, best known as the long-time home ground of Norwegian club Stabæk Fotball.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d0376408190a2233375f478377e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14794c3488190874b0a4d2c00514d completed March 23, 2026, 2 p.m.
NED2 Entity disambiguation (via description) batch_69c1480b10f08190891bfc8488bbaf16 completed March 23, 2026, 2:02 p.m.
Created at: March 22, 2026, 4:17 p.m.