Triple

T2904803
Position Surface form Disambiguated ID Type / Status
Subject Disney properties in California E62737 entity
Predicate hasPrimaryClusterIn P42646 FINISHED
Object Anaheim E34531 NE FINISHED

How this triple was built (3 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: [Disney properties in California, hasPrimaryClusterIn, Anaheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anaheim
Context triple: [Disney properties in California, hasPrimaryClusterIn, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryClusterIn
Context triple: [Disney properties in California, hasPrimaryClusterIn, Anaheim]
  • A. hasITCluster
    Indicates that an entity possesses, hosts, or is associated with a specific information technology (IT) cluster.
  • B. hasPrimaryPool
    Indicates that an entity is associated with or designated to use a particular pool as its main or default pool.
  • C. hasPrimarySee
    Indicates that one entity is designated as the main or preferred "see" reference or cross-reference for another entity.
  • D. hasPrimaryNetwork
    Indicates that an entity is associated with or connected to its main or most important network among potentially multiple networks.
  • E. hasPrimaryInflow
    Indicates that one entity serves as the main source of inflowing material, energy, or influence into another entity.
  • F. None of above. chosen

Provenance (5 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0cd68d48190aea4afbdaed2d4bc completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b367e000dc8190baba64c6e8ccf308 completed March 13, 2026, 1:26 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abdd96670c8190b727f9ac27dadf67 completed March 7, 2026, 8:11 a.m.
Created at: March 6, 2026, 10:11 p.m.