Triple

T273983
Position Surface form Disambiguated ID Type / Status
Subject Disneyland Resort E5206 entity
Predicate locatedIn P40 FINISHED
Object Anaheim, California 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, California | Statement: [Disneyland Resort, locatedIn, Anaheim, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anaheim, California
Context triple: [Disneyland Resort, locatedIn, Anaheim, California]
  • 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. Oxnard, California
    Oxnard, California is a coastal city in Ventura County known for its agriculture, beaches, and role as a gateway to the Channel Islands.
  • D. Fontana, California
    Fontana, California is a large suburban city in San Bernardino County known for its logistics hubs, industrial centers, and proximity to major Southern California freeways.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd0a99c819089968a5400c58c5f completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a55a6fb0448190ae5dbcfd6c3726c0 completed March 2, 2026, 9:37 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.