Triple

T4861176
Position Surface form Disambiguated ID Type / Status
Subject STS-44 E108662 entity
Predicate landingState P8974 FINISHED
Object California E26 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: California | Statement: [STS-44, landingState, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California
Context triple: [STS-44, landingState, California]
  • A. Kalifornia
    Kalifornia is a 1993 neo-noir road thriller film that follows a journalist couple researching serial killers while unknowingly traveling with one.
  • B. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
  • E. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • 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: landingState
Context triple: [STS-44, landingState, California]
  • A. landing
    Indicates the action or event of an entity coming down from the air or a higher position to make controlled contact with a surface.
  • B. landingArea chosen
    Indicates that a location or surface serves as a designated area where something (such as an aircraft, object, or person) can land.
  • C. landingAttemptResult
    Indicates the outcome or status of an attempted landing action, such as whether the landing succeeded, failed, or had another specific result.
  • D. landingOperation
    Indicates an operation in which an aircraft, spacecraft, or similar vehicle descends and makes contact with a surface to complete its landing.
  • E. landerStatus
    Indicates the current operational or situational state of a lander in its mission lifecycle.
  • F. None of above.

Provenance (4 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5e247c8190b6ae4e9b529f0345 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67cb1fe48190821c1daf930a70ff completed March 21, 2026, 9:41 a.m.
PD Predicate disambiguation batch_69bd6c27334481909ba8ac80854f7d8e completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:26 p.m.