Triple

T21471317
Position Surface form Disambiguated ID Type / Status
Subject 2015 FIFA corruption case E529738 entity
Predicate placeOfArrests P24149 FINISHED
Object Zurich NE NERFINISHED

How this triple was built (3 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: Zurich | Statement: [2015 FIFA corruption case, placeOfArrests, Zurich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zurich
Context triple: [2015 FIFA corruption case, placeOfArrests, Zurich]
  • A. Zurich chosen
    Zurich is the largest city in Switzerland, known as a global financial hub and cultural center situated on the shores of Lake Zurich.
  • B. Stettlen
    Stettlen is a municipality in the canton of Bern in Switzerland, situated just east of the city of Bern and functioning largely as a residential and commuter community.
  • C. Berne
    Berne is the de facto capital city of Switzerland and the seat of its federal government institutions.
  • D. Geneva
    Geneva is a major Swiss city on Lake Geneva known for hosting numerous international organizations, including United Nations agencies and the Red Cross.
  • E. Geneva
    Geneva is a small city in New York's Finger Lakes region, known for its lakeside setting on Seneca Lake and its historic colleges and wineries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfArrests
Context triple: [2015 FIFA corruption case, placeOfArrests, Zurich]
  • A. arrestedAt chosen
    Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
  • B. placeOfDetention
    Indicates the location or facility where an entity is or was held in detention.
  • C. arrestedWith
    Indicates that two or more individuals were arrested at the same time and in connection with the same incident or operation.
  • D. arrestedFor
    Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
  • E. arrests
    Indicates that one entity, typically an authority figure, seizes and detains another entity under legal or official power.
  • F. None of above.

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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea13adfc819093324ae6fe66c3fd completed April 23, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69e631ec1d048190b6da97da8222e413 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:18 p.m.