Triple

T2680513
Position Surface form Disambiguated ID Type / Status
Subject Vrana E56560 entity
Predicate locatedIn P40 FINISHED
Object Marathon E56560 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: Marathon | Statement: [Vrana, locatedIn, Marathon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon
Context triple: [Vrana, locatedIn, Marathon]
  • A. Marathon chosen
    Marathon is an ancient town in northeastern Attica, Greece, best known as the site of the pivotal Battle of Marathon in 490 BC that inspired the modern long-distance race.
  • B. Marathón
    Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
  • C. Marathon '33
    Marathon '33 is a stage play by June Havoc that dramatizes the grueling world of Depression-era dance marathons, drawing on her own experiences as a contestant.
  • D. Boston Marathon
    The Boston Marathon is the world’s oldest annual marathon and one of the most prestigious long-distance running races, attracting elite and amateur runners from around the globe each Patriots’ Day.
  • E. New York City Marathon
    The New York City Marathon is one of the world’s largest and most prestigious annual long-distance running races, drawing elite athletes and mass participants to a 26.2-mile course through all five boroughs of New York City.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02d8730819093a576d3751432de completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:54 p.m.