Triple

T15922366
Position Surface form Disambiguated ID Type / Status
Subject Amaury family E386122 entity
Predicate controls P760 FINISHED
Object Paris Marathon E386123 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: Paris Marathon | Statement: [Amaury family, controls, Paris Marathon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Marathon
Context triple: [Amaury family, controls, Paris Marathon]
  • A. Paris Marathon chosen
    The Paris Marathon is a major annual long-distance running race held in Paris, France, attracting tens of thousands of participants from around the world.
  • B. Berlin Marathon
    The Berlin Marathon is one of the world’s major city marathons, renowned for its flat, fast course where numerous marathon world records have been set.
  • C. Chicago Marathon
    The Chicago Marathon is one of the world’s premier annual long-distance running races, renowned for its flat, fast course through Chicago’s neighborhoods and its status as a major international marathon.
  • D. Marathón
    Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
  • E. London Marathon
    The London Marathon is one of the world’s largest and most prestigious annual long-distance running events, held on the streets of London and attracting elite athletes and mass participants from around the globe.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156825b1881908477ec93cc7b5f02 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.