Triple

T15961394
Position Surface form Disambiguated ID Type / Status
Subject Kruskal–Wallis test E387065 entity
Predicate softwareSupport P33721 FINISHED
Object Stata E765762 NE FINISHED

How this triple was built (2 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: Stata | Statement: [Kruskal–Wallis test, softwareSupport, Stata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stata
Context triple: [Kruskal–Wallis test, softwareSupport, Stata]
  • A. Stata chosen
    Stata is a commercial statistical software package widely used in research for data management, advanced statistical analysis, and graphical visualization.
  • B. Stata
    Stata is a prominent Massachusetts Institute of Technology building known for its striking deconstructivist design by architect Frank Gehry and its role as a hub for computer science and artificial intelligence research.
  • C. Gretl
    Gretl is the nickname of Gretl Braun, the younger sister of Eva Braun who was closely associated with Adolf Hitler’s inner circle in Nazi Germany.
  • D. IBM SPSS Statistics
    IBM SPSS Statistics is a widely used software package for advanced statistical analysis, data management, and predictive analytics in business, research, and academia.
  • E. sas
    sas is the ISO 639-3 code for the Sasak language spoken primarily on the Indonesian island of Lombok.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ff4cdc81908db31394eaa191bc completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.