Triple

T21899794
Position Surface form Disambiguated ID Type / Status
Subject Point Place, Wisconsin E540776 entity
Predicate hasFictionalStateAbbreviation P2461 FINISHED
Object WI NE NERFINISHED

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: WI | Statement: [Point Place, Wisconsin, hasFictionalStateAbbreviation, WI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WI
Context triple: [Point Place, Wisconsin, hasFictionalStateAbbreviation, WI]
  • A. WI
    WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
  • B. WI
    WI is the abbreviation for Waterways Ireland, the cross-border body responsible for managing and promoting inland navigable waterways on the island of Ireland.
  • C. Wisconsin chosen
    Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
  • D. WA
    WA is the commonly used abbreviation for World Archery, the international governing body for the sport of archery.
  • E. WA
    WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
  • 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: hasFictionalStateAbbreviation
Context triple: [Point Place, Wisconsin, hasFictionalStateAbbreviation, WI]
  • A. hasFictionalCounty
    Indicates that one entity includes, is set in, or is associated with a county that is fictional rather than real.
  • B. hasPostalAbbreviationState chosen
    Indicates that a state is associated with a specific standardized postal abbreviation.
  • C. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • D. hasFictionalAlias
    Indicates that an entity is known by an alternative name or identity within a fictional context.
  • E. hasFictionalLocation
    Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
  • F. None of above.

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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
PD Predicate disambiguation batch_69e6be9a65888190a66598d62d20366c completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 7:07 p.m.