Triple

T16180795
Position Surface form Disambiguated ID Type / Status
Subject Fédération Internationale de Motocyclisme E392677 entity
Predicate headquartersLocation P62 FINISHED
Object Mies E171317 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: Mies | Statement: [Fédération Internationale de Motocyclisme, headquartersLocation, Mies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mies
Context triple: [Fédération Internationale de Motocyclisme, headquartersLocation, Mies]
  • A. Mies chosen
    Mies is a small Swiss municipality in the canton of Vaud, located along Lake Geneva near the city of Geneva.
  • B. Männiku
    Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
  • C. Mann
    Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
  • D. Sievi
    Sievi is a small rural municipality in Northern Ostrobothnia, Finland, known for its agriculture and light industry.
  • E. Man
    Man was a prominent British anthropological journal that served as the main publication of the Royal Anthropological Institute before being continued under a new title.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205c92b48190b7125dbbcff3662e completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0022148190bc1810e76cf6d994 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.