Triple

T9876726
Position Surface form Disambiguated ID Type / Status
Subject Masaryk Circuit E240089 entity
Predicate hasFormerName P65 FINISHED
Object Automotodrom Brno E240089 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: Automotodrom Brno | Statement: [Masaryk Circuit, hasFormerName, Automotodrom Brno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Automotodrom Brno
Context triple: [Masaryk Circuit, hasFormerName, Automotodrom Brno]
  • A. Masaryk Circuit chosen
    Masaryk Circuit is a renowned motor racing track near Brno in the Czech Republic, best known for hosting MotoGP and other major international motorsport events.
  • B. Pardubice racecourse
    Pardubice racecourse is a renowned Czech horse racing venue best known for hosting the challenging Velká pardubická steeplechase.
  • C. Zeltweg
    Zeltweg is a town in the Austrian state of Styria known for its military air base and the nearby Red Bull Ring motor racing circuit.
  • D. Oschersleben Motorsport Arena
    Oschersleben Motorsport Arena is a permanent road racing circuit in Germany known for hosting international touring car and GT events.
  • E. Sochi Autodrom
    Sochi Autodrom is a modern Formula One racing circuit in Russia, laid out around the venues of the Sochi Olympic Park.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d6ec5a081908251e67b575c7c33 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:37 p.m.