Triple

T11959815
Position Surface form Disambiguated ID Type / Status
Subject CMP Media E284637 entity
Predicate notablePublication P4 FINISHED
Object EE Times E956234 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: EE Times | Statement: [CMP Media, notablePublication, EE Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EE Times
Context triple: [CMP Media, notablePublication, EE Times]
  • A. EE Times chosen
    EE Times is a leading electronics industry publication that provides news, analysis, and technical information for engineers and technology professionals.
  • B. IEEE Spectrum
    IEEE Spectrum is the flagship magazine and website of the Institute of Electrical and Electronics Engineers, covering advances and issues in engineering, technology, and applied science.
  • C. IEEE Electron Device Letters
    IEEE Electron Device Letters is a peer-reviewed scientific journal focusing on rapid publication of short, original research papers in the field of electron and semiconductor devices.
  • D. EDN
    EDN is the commonly used abbreviation for the Episcopal Diocese of Nevada, a regional jurisdiction of the Episcopal Church in the United States.
  • E. EDA
    EDA is a U.S. federal agency within the Department of Commerce that provides grants and technical assistance to support economic growth and job creation in distressed communities.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9036941948190b150369094551731 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471d625c88190baed4ea08853988a completed May 1, 2026, 9:26 a.m.
Created at: April 8, 2026, 9:45 p.m.