Triple

T6231415
Position Surface form Disambiguated ID Type / Status
Subject Framework for Integrated Test E139361 entity
Predicate relatedTo P37 FINISHED
Object Cucumber E352374 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: Cucumber | Statement: [Framework for Integrated Test, relatedTo, Cucumber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cucumber
Context triple: [Framework for Integrated Test, relatedTo, Cucumber]
  • A. Cucumber
    Cucumber is a British television drama series created and written by Russell T Davies that explores the lives and relationships of gay men in contemporary Manchester.
  • B. Cucumber chosen
    Cucumber is a widely cultivated vine plant known for its elongated green fruit, commonly eaten fresh in salads or pickled as a vegetable.
  • C. Chard
    Chard is a historic market town in Somerset, England, often noted for its claim as the birthplace of powered flight and as one of the county’s southernmost towns.
  • D. Spinacia
    Spinacia is a small genus of flowering plants best known for including spinach, an important leafy vegetable cultivated worldwide for food.
  • E. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062ec5be4819084d6df2e8dd2a542 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20defd338819099a23d00107c4edd completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:22 p.m.