Triple

T11957848
Position Surface form Disambiguated ID Type / Status
Subject Mesa 3D E284597 entity
Predicate operatingSystem P1593 FINISHED
Object Haiku E209551 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: Haiku | Statement: [Mesa 3D, operatingSystem, Haiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haiku
Context triple: [Mesa 3D, operatingSystem, Haiku]
  • A. Haiku chosen
    Haiku is an open-source, lightweight desktop operating system inspired by BeOS, designed for speed, simplicity, and consistency.
  • B. Haiku
    Haiku is a small, rural community on Maui’s lush North Shore known for its tropical landscapes, agriculture, and laid-back local lifestyle.
  • C. tanka
    The tanka was a medieval silver coin that served as a standard monetary unit across much of the Indian subcontinent under various Islamic and later dynasties.
  • D. Inchicore Haiku
    Inchicore Haiku is a collection of short, haiku-inspired poems by Irish poet Michael Hartnett that reflect urban life and personal reflection in the Inchicore area of Dublin.
  • E. Temwaiku
    Temwaiku is a village and district within South Tarawa in Kiribati, known as one of the populated islets forming the country's capital area.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.