Triple

T13815114
Position Surface form Disambiguated ID Type / Status
Subject World Allrounds E331993 entity
Predicate abbreviation P43 FINISHED
Object World Allrounds E331993 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: World Allrounds | Statement: [World Allrounds, abbreviation, World Allrounds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Allrounds
Context triple: [World Allrounds, abbreviation, World Allrounds]
  • A. World Allrounds chosen
    World Allrounds is the commonly used short name for the World Allround Speed Skating Championships, a major international competition that crowns the most versatile speed skaters across multiple distances.
  • B. All-World
    All-World is the sprawling, post-apocalyptic fantasy universe in Stephen King’s Dark Tower series, where multiple realities intersect around the quest for the Dark Tower.
  • C. Atleti
    Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
  • D. Atlit
    Atlit is a coastal town in northern Israel known for its Crusader-era fortress, detention camp museum, and proximity to Haifa.
  • E. All Nations
    All Nations was a prominent early 20th-century barnstorming Negro league baseball team known for its racially diverse roster and extensive touring schedule.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02806e148190996f58934e66d7d8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e0112481909deb31f8614f8b93 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.