Triple

T14831839
Position Surface form Disambiguated ID Type / Status
Subject SC Veendam E348724 entity
Predicate fullName P16 FINISHED
Object Sportclub Veendam E348724 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: Sportclub Veendam | Statement: [SC Veendam, fullName, Sportclub Veendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sportclub Veendam
Context triple: [SC Veendam, fullName, Sportclub Veendam]
  • A. SC Veendam chosen
    SC Veendam was a Dutch professional football club based in Veendam, known for competing for many years in the country’s second division before its dissolution in 2013.
  • B. SC Heerenveen
    SC Heerenveen is a Dutch professional football club based in Heerenveen, known for competing in the Eredivisie and developing young talent.
  • C. FC Volendam
    FC Volendam is a Dutch professional football club based in Volendam, known for its distinctive orange kits and history of developing talented players.
  • D. Sportclub Enschede
    Sportclub Enschede was a Dutch football club from Enschede that became best known as one of the two teams that merged to form FC Twente.
  • E. MVV Energie
    MVV Energie is a major German energy company based in Mannheim that focuses on electricity, gas, district heating, and renewable energy solutions.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a393988190837fdca148f4058c completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.