Triple

T5291065
Position Surface form Disambiguated ID Type / Status
Subject Eliteserien E119741 entity
Predicate formerName P65 FINISHED
Object Norgesserien
Norgesserien was the former top-tier Norwegian football league that preceded what is now known as Eliteserien.
 E508960 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: Norgesserien | Statement: [Eliteserien, formerName, Norgesserien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norgesserien
Context triple: [Eliteserien, formerName, Norgesserien]
  • A. Nehring
    Nehring is a German surname borne by various notable individuals, including military figures, scholars, and artists.
  • B. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Neefe
    Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
  • E. Hellenstein
    Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
  • 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: Norgesserien
Triple: [Eliteserien, formerName, Norgesserien]
Generated description
Norgesserien was the former top-tier Norwegian football league that preceded what is now known as Eliteserien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norgesserien
Target entity description: Norgesserien was the former top-tier Norwegian football league that preceded what is now known as Eliteserien.
  • A. Nehring
    Nehring is a German surname borne by various notable individuals, including military figures, scholars, and artists.
  • B. Gsell
    Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Neefe
    Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
  • E. Hellenstein
    Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f066988190a3df7e270df84fdd completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf09fd3dc48190be94a4b5b1f32dc6 completed March 21, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69bf0a8c90888190bd7cc6d940b62cd1 completed March 21, 2026, 9:15 p.m.
Created at: March 20, 2026, 1:52 p.m.