Triple

T14423579
Position Surface form Disambiguated ID Type / Status
Subject GLSL E357640 entity
Predicate relatedTo P37 FINISHED
Object Cg E724346 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: Cg | Statement: [GLSL, relatedTo, Cg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cg
Context triple: [GLSL, relatedTo, Cg]
  • A. Cg chosen
    Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
  • B. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • C. GLC
    GLC is a Chicago-based rapper and longtime Kanye West collaborator known for his appearances on early Kanye albums and his affiliation with the G.O.O.D. Music collective.
  • D. GLC
    GLC is a prominent and historic law college in Mumbai, India, officially known as Government Law College.
  • E. GLC
    The GLC is a compact luxury crossover SUV produced by Mercedes-Benz, positioned as one of the brand’s core premium utility vehicles.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.