Triple

T11061549
Position Surface form Disambiguated ID Type / Status
Subject EMCC E261518 entity
Predicate abbreviation P43 FINISHED
Object EMCC E261518 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: EMCC | Statement: [EMCC, abbreviation, EMCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMCC
Context triple: [EMCC, abbreviation, EMCC]
  • A. EMCC chosen
    EMCC is a public community college in Bangor, Maine, offering two-year degree and certificate programs focused on career and technical education.
  • B. EvCC
    EvCC is a public community college in Everett, Washington, offering two-year degrees, certificates, and transfer programs.
  • C. EMMI
    EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • D. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • E. EMCO
    EMCO is the abbreviated name for Chile’s Joint Chiefs of Staff, the top military body responsible for coordinating the country’s armed forces.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ea834c819099401e69f995c59f completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c887d2148190b19c91b6eb548494 completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.