Triple

T5766740
Position Surface form Disambiguated ID Type / Status
Subject LHC Run 1 E127233 entity
Predicate majorExperiment P66272 FINISHED
Object CMS E3747 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: CMS | Statement: [LHC Run 1, majorExperiment, CMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMS
Context triple: [LHC Run 1, majorExperiment, CMS]
  • A. CMS
    CMS is the U.S. federal agency within the Department of Health and Human Services that administers major national healthcare programs including Medicare, Medicaid, and the Children’s Health Insurance Program.
  • B. CMS chosen
    CMS is a major general-purpose particle physics detector at CERN’s Large Hadron Collider, designed to investigate fundamental particles and forces, including the Higgs boson.
  • C. CMS
    CMS is an international environmental treaty under the United Nations that aims to conserve migratory species of wild animals and their habitats across their entire range.
  • D. CMS
    CMS is a historic Anglican evangelical mission organization founded in 1799 that has supported global Christian missionary work, education, and social development.
  • E. CMS
    CMS is a highly competitive examination in India conducted by the Union Public Service Commission to recruit medical officers for various government organizations and services.
  • 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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0335f23c081909b35020801e3ef12 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098062d2c8190a7ccddc1017e19e5 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:49 p.m.