Triple

T12350810
Position Surface form Disambiguated ID Type / Status
Subject Sunday Oliseh E294478 entity
Predicate coachedTeam P2169 FINISHED
Object SV 19 Straelen E294484 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: SV 19 Straelen | Statement: [Sunday Oliseh, coachedTeam, SV 19 Straelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SV 19 Straelen
Context triple: [Sunday Oliseh, coachedTeam, SV 19 Straelen]
  • A. SV Straelen chosen
    SV Straelen is a German football club that has competed in the lower tiers of the national league system.
  • B. Straelen
    Straelen is a historic town in western Germany’s Lower Rhine region, known for its agricultural economy and proximity to the Dutch border.
  • C. Strandvliet
    Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
  • D. Stralau-Rummelsburg
    Stralau-Rummelsburg was the historical name of a railway station in Berlin that later became known as Berlin Ostkreuz, one of the city’s major rail hubs.
  • E. Berendrecht-Zandvliet-Lillo
    Berendrecht-Zandvliet-Lillo is a northern district of the Belgian city of Antwerp that encompasses several former villages along the Scheldt River, known for its proximity to the Port of Antwerp and extensive polder landscapes.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346faa0481909e2f8463bff88c52 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.