Triple

T6156327
Position Surface form Disambiguated ID Type / Status
Subject Majorstuen E137329 entity
Predicate hasNearbyArea P4647 FINISHED
Object Bislett E553388 NE FINISHED

How this triple was built (2 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: Bislett | Statement: [Majorstuen, hasNearbyArea, Bislett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bislett
Context triple: [Majorstuen, hasNearbyArea, Bislett]
  • A. Bislett Stadium chosen
    Bislett Stadium is a renowned multi-purpose sports venue in Oslo, Norway, best known for its historic track and field meets and speed skating events.
  • B. Birkebeineren Ski Stadium
    Birkebeineren Ski Stadium is a Nordic skiing and biathlon venue in Lillehammer, Norway, best known for hosting cross-country and biathlon events during the 1994 Winter Olympics.
  • C. Telemark
    Telemark is a historic region and former county in southeastern Norway known for its traditional folk culture, distinctive skiing heritage, and varied landscapes of mountains, forests, and coast.
  • D. Jordal Amfi
    Jordal Amfi is a prominent ice hockey arena in Oslo, Norway, historically known as a central venue for major national and international ice hockey events.
  • E. Lillehammer
    Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 22, 2026, 4:17 p.m.