Triple

T2453184
Position Surface form Disambiguated ID Type / Status
Subject City of Roses E53752 entity
Predicate hasAlternativeNameForSameCity P39952 FINISHED
Object Pasadena E8127 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: Pasadena | Statement: [City of Roses, hasAlternativeNameForSameCity, Pasadena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasadena
Context triple: [City of Roses, hasAlternativeNameForSameCity, Pasadena]
  • A. Pasadena chosen
    Pasadena is a city in Los Angeles County, California, known for its scientific and cultural institutions and as the longtime host of the annual Rose Parade and Rose Bowl Game.
  • B. Torrance
    Torrance is a coastal city in southwestern Los Angeles County, California, known for its suburban neighborhoods, automotive and aerospace industries, and one of the region’s largest concentrations of Japanese-American residents.
  • C. Santa Monica
    Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
  • D. Camarillo
    Camarillo is a suburban city in Southern California known for its mild climate, outlet shopping, and proximity to the Pacific coast.
  • E. 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.
  • 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: hasAlternativeNameForSameCity
Context triple: [City of Roses, hasAlternativeNameForSameCity, Pasadena]
  • A. airportAlsoKnownAs
    Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
  • B. cityNowKnownAs
    Indicates that a city has changed its name and specifies the new name it is currently known by.
  • C. hasMetropolitanAreaName
    Indicates that an entity is associated with a metropolitan area identified by a specific name.
  • D. hasAssociatedCity
    Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
  • E. hasHomeCity
    Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6677ae0819099091bcf48328a69 completed March 10, 2026, 6:12 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
PDg Predicate description generation batch_69abd2baee308190bdaa41ef1f6bc9cc completed March 7, 2026, 7:24 a.m.
Created at: March 6, 2026, 9:43 p.m.