Triple

T3662728
Position Surface form Disambiguated ID Type / Status
Subject Battle of Marathon E77687 entity
Predicate location 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: [Battle of Marathon, location, Marathon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon
Context triple: [Battle of Marathon, location, Marathon]
  • A. Marathon
    Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
  • B. 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.
  • C. Marathón
    Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
  • D. 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.
  • E. 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.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.