Triple

T6012436
Position Surface form Disambiguated ID Type / Status
Subject Herodes Atticus E133867 entity
Predicate birthPlace P1 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: [Herodes Atticus, birthPlace, Marathon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon
Context triple: [Herodes Atticus, birthPlace, 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. 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.
  • C. Marathon
    Marathon is a small town in northwestern Ontario, Canada, known historically for its forestry and mining industries along the north shore of Lake Superior.
  • D. Marathón
    Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
  • E. 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.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f528acc8190bc6943d812460b57 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a7afe88190adeb690f40b2e1e9 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.