Triple

T11773882
Position Surface form Disambiguated ID Type / Status
Subject Angels in the Outfield E279966 entity
Predicate settingLocation P40 FINISHED
Object Anaheim E34531 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: Anaheim | Statement: [Angels in the Outfield, settingLocation, Anaheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anaheim
Context triple: [Angels in the Outfield, settingLocation, Anaheim]
  • A. Anaheim chosen
    Anaheim is a major city in Orange County, California, best known as the home of the Disneyland Resort and a significant hub for tourism and entertainment in the region.
  • B. Irvine
    Irvine is a master-planned city in Orange County, California, known for its affluent residential communities, strong public schools, and concentration of technology and education industries.
  • C. Irvine
    Irvine is a coastal town in North Ayrshire, Scotland, known historically as a royal burgh and port on the Firth of Clyde.
  • D. Huntington Beach
    Huntington Beach is a coastal city in Southern California known for its long sandy beaches, surf culture, and vibrant seaside community.
  • E. San Diego
    San Diego is a large coastal city in Southern California known for its mild climate, beaches, naval base, and proximity to the Mexican border.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130cb31f48190a9357cce47a7b192 completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:41 p.m.