Triple

T7951522
Position Surface form Disambiguated ID Type / Status
Subject CMT E184624 entity
Predicate hasAbbreviation P43 FINISHED
Object CMT E184624 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: CMT | Statement: [CMT, hasAbbreviation, CMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMT
Context triple: [CMT, hasAbbreviation, CMT]
  • A. CMT chosen
    CMT (Country Music Television) is an American cable channel primarily dedicated to country music videos, concerts, and related lifestyle programming.
  • B. C&W
    C&W is a cryptographic technique known as chaffing and winnowing, which provides data confidentiality without traditional encryption by mixing authentic data with bogus data and using authentication tags to separate them.
  • C. CMT Music Award
    The CMT Music Award is a fan-voted American country music video award presented annually by the cable channel CMT.
  • D. CM
    CM is the commonly used abbreviation for the Committee of Ministers, the decision-making body of the Council of Europe composed of the foreign ministers of member states or their representatives.
  • E. CM
    CM is the two-letter ISO 3166-1 alpha-2 country code assigned to Cameroon.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.