Triple

T4250238
Position Surface form Disambiguated ID Type / Status
Subject San Pedro Sula E95829 entity
Predicate hasSportsTeam P330 FINISHED
Object Marathón E146912 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: Marathón | Statement: [San Pedro Sula, hasSportsTeam, Marathón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathón
Context triple: [San Pedro Sula, hasSportsTeam, Marathón]
  • A. Marathón chosen
    Marathón is a professional football club from Honduras, known as one of the country's most prominent and historically successful teams.
  • B. Marathon
    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. 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.
  • D. Paris Marathon
    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.
  • E. Milan Marathon
    The Milan Marathon is an annual international road running race held in Milan, Italy, attracting elite and amateur runners from around the world.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9f11008190a0021e0ad730a79d completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88225288190bb627de15da77c42 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.