Triple

T12325241
Position Surface form Disambiguated ID Type / Status
Subject Canvas Studio E293811 entity
Predicate supportsStandard P1587 FINISHED
Object LTI E293820 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: LTI | Statement: [Canvas Studio, supportsStandard, LTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTI
Context triple: [Canvas Studio, supportsStandard, LTI]
  • A. LTI chosen
    LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
  • B. LTI Gray Matter
    LTI Gray Matter was a video game development studio known for creating licensed titles, including the 2002 Spider-Man game adaptation.
  • C. LMS
    LMS was one of the "Big Four" British railway companies, operating an extensive network across London, the Midlands, Scotland, and parts of Wales from 1923 until nationalisation in 1948.
  • D. LMS
    LMS is the commonly used abbreviation for the London Missionary Society, a major Protestant missionary organization founded in Britain in the late 18th century.
  • E. LMS
    LMS is the London Mathematical Society, a leading UK organization dedicated to advancing and promoting mathematical research.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8d27288190bdf32acd600141db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.