Triple

T7125776
Position Surface form Disambiguated ID Type / Status
Subject Charles Fairburn E166055 entity
Predicate hasEmployer P7 FINISHED
Object LMS E88872 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: LMS | Statement: [Charles Fairburn, hasEmployer, LMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMS
Context triple: [Charles Fairburn, hasEmployer, LMS]
  • A. LMS chosen
    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.
  • B. LMS
    LMS is the London Mathematical Society, a leading UK organization dedicated to advancing and promoting mathematical research.
  • C. LTI
    LTI (Learning Tools Interoperability) is an education technology standard that enables seamless integration of external learning applications and tools into learning management systems.
  • D. Canvas LMS
    Canvas LMS is a widely used cloud-based learning management system designed to help schools, universities, and organizations deliver, manage, and track online and blended courses.
  • E. LOM
    LOM is the official abbreviation for the Legion of Merit, a prestigious United States military decoration awarded for exceptionally meritorious conduct in the performance of outstanding services and achievements.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64d99888190a93c1822e19b5457 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3357e548190bb56c31843c69f95 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.