Triple

T20708234
Position Surface form Disambiguated ID Type / Status
Subject Hovedserien E508961 entity
Predicate precededBy P97 FINISHED
Object Norgesserien NE NERFINISHED

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: Norgesserien | Statement: [Hovedserien, precededBy, Norgesserien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norgesserien
Context triple: [Hovedserien, precededBy, Norgesserien]
  • A. Norgesserien chosen
    Norgesserien was the former top-tier Norwegian football league that preceded what is now known as Eliteserien.
  • B. Norg
    Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
  • C. Graustark
    Graustark is a popular early 20th-century romantic adventure novel by George Barr McCutcheon set in a fictional Eastern European kingdom.
  • D. Roeser
    Roeser is a commune and small town in southern Luxembourg, situated just south of Luxembourg City in the country’s Minett region.
  • E. Schehring
    Schehring is an alternative spelling or variant name of Schering, a historic German pharmaceutical and chemical company known for its contributions to medicine and life sciences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.