Triple

T6115060
Position Surface form Disambiguated ID Type / Status
Subject Ken Arnold E136338 entity
Predicate sightingState P68225 FINISHED
Object Washington E20479 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: Washington | Statement: [Ken Arnold, sightingState, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington
Context triple: [Ken Arnold, sightingState, Washington]
  • A. Washington chosen
    Washington is a U.S. state in the Pacific Northwest known for its diverse landscapes, technology industry centered around Seattle, and significant cultural and economic influence on the West Coast.
  • B. Washington
    Washington is a small rural town in Berkshire County in western Massachusetts, known for its forested landscape and quiet, sparsely populated character.
  • C. Washington
    Washington is a rapid transit station on Chicago's 'L' system, formerly serving the CTA Blue Line in the downtown Loop.
  • D. Washington
    Washington is a common English surname most famously borne by George Washington, the first president of the United States.
  • E. Washington
    Washington is a small town in Dutchess County, New York, known for its rural character and the village of Millbrook within its borders.
  • 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: sightingState
Context triple: [Ken Arnold, sightingState, Washington]
  • A. sightType
    Indicates the specific kind or category of sight or visual perception associated with an entity or event.
  • B. deerStatus
    Indicates the current condition or state associated with a deer in the context of the relationship or process being modeled.
  • C. isObservedIn
    Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
  • D. landSightedBy
    Indicates that a particular area of land has been visually observed or detected by a specified observer.
  • E. isObservedOn
    Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc0bee08190ab93eae34ea8cdde completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1250c82588190af8102263c1bd242 completed March 23, 2026, 11:33 a.m.
PD Predicate disambiguation batch_69c049f80e2081909b7d84a104cda68d completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:14 p.m.