Triple

T18204742
Position Surface form Disambiguated ID Type / Status
Subject Bloom E435874 entity
Predicate trainingHardwareProvider P96016 FINISHED
Object IDRIS NE NERFINISHED

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: IDRIS | Statement: [Bloom, trainingHardwareProvider, IDRIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDRIS
Context triple: [Bloom, trainingHardwareProvider, IDRIS]
  • A. IDRIS chosen
    IDRIS is a French national high-performance computing center that provides supercomputing resources and support for scientific research.
  • B. Idris Alooma
    Idris Alooma was a powerful 16th-century ruler of the Bornu Empire known for his military conquests, administrative and Islamic reforms, and expansion of trans-Saharan trade.
  • C. Idre
    Idre is a village and popular outdoor tourism destination in Dalarna County, Sweden, known for its nearby ski resort and mountain landscapes.
  • D. إدريس
    إدريس هو اسم علم عربي يُستخدم للذكور وله جذور دينية وتاريخية في الثقافة الإسلامية.
  • E. Iddo
    Iddo is a biblical figure mentioned in the Old Testament, known primarily as an ancestor of the prophet Zechariah and sometimes identified as a seer or priest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.