Triple

T10726080
Position Surface form Disambiguated ID Type / Status
Subject Vancouver film industry E252949 entity
Predicate frequentlyDoublesFor P95645 FINISHED
Object Seattle E166067 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: Seattle | Statement: [Vancouver film industry, frequentlyDoublesFor, Seattle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle
Context triple: [Vancouver film industry, frequentlyDoublesFor, Seattle]
  • A. Seattle chosen
    Seattle is a major coastal city in the U.S. state of Washington, known for its tech industry, vibrant music and arts scene, and iconic landmarks like the Space Needle.
  • B. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • C. Portland
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • D. Portland
    Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
  • E. Portland
    Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
  • 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: frequentlyDoublesFor
Context triple: [Vancouver film industry, frequentlyDoublesFor, Seattle]
  • A. isFrequently
    Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
  • B. isFrequentlyIncludedIn
    Indicates that something is regularly or commonly contained or made part of something else.
  • C. repetitionOf
    Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
  • D. commonPair
    Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
  • E. frequentOccasion
    Indicates that a particular event, situation, or condition occurs repeatedly or commonly over time.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4963545f481909ecc360480b1fc37 completed April 19, 2026, 8:45 a.m.
PD Predicate disambiguation batch_69d6f309a44881908e49e3ba478c35b4 completed April 9, 2026, 12:30 a.m.
PDg Predicate description generation batch_69d6fa323564819097b207eb53f8a9b8 completed April 9, 2026, 1 a.m.
Created at: April 8, 2026, 9:14 p.m.