Triple

T18635796
Position Surface form Disambiguated ID Type / Status
Subject Center for Entrepreneurial Studies E455543 entity
Predicate abbreviation P43 FINISHED
Object CES NE NERFINISHED

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: CES | Statement: [Center for Entrepreneurial Studies, abbreviation, CES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CES
Context triple: [Center for Entrepreneurial Studies, abbreviation, CES]
  • A. CES
    CES is the commonly used abbreviation for the U.S. Committee on Economic Security, the New Deal–era body that helped design foundational social welfare programs like Social Security.
  • B. CES chosen
    CES is the Center for Entrepreneurial Studies, an academic hub focused on research, education, and support for entrepreneurship and innovation.
  • C. CES
    CES is the ICAO airline designator used to identify China Eastern Airlines in international aviation operations.
  • D. CES
    CES is the station code used to identify Cessnock subway station on the Glasgow Subway network.
  • E. CES
    CES is the IATA airport code for Cessnock Airport, a regional airport serving the Cessnock area in New South Wales, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc90b508190849cecb462b52b62 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.