Triple

T8118029
Position Surface form Disambiguated ID Type / Status
Subject Digital Research E189529 entity
Predicate product P490 FINISHED
Object GEM E713567 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: GEM | Statement: [Digital Research, product, GEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GEM
Context triple: [Digital Research, product, GEM]
  • A. GEM chosen
    GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for bringing a Macintosh-like windowed interface to DOS-based personal computers and the Atari ST.
  • B. GEM
    GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
  • C. GEML
    GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
  • D. GeMS
    GeMS is a multi-conjugate adaptive optics system used on large telescopes to correct atmospheric distortion and produce sharper astronomical images.
  • E. Gem
    Gem is the short-form name for CBC Gem, the Canadian Broadcasting Corporation’s online streaming service for television shows, movies, and live content.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435737c08190a4e311d4d990b4ef completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbea5d39c819099d52545410ae564 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:33 p.m.