Triple

T15649667
Position Surface form Disambiguated ID Type / Status
Subject Danville Community College E376275 entity
Predicate abbreviation P43 FINISHED
Object DCC E76972 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: DCC | Statement: [Danville Community College, abbreviation, DCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCC
Context triple: [Danville Community College, abbreviation, DCC]
  • A. DCC chosen
    DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
  • B. DCC
    DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
  • C. DCC Compact Classics
    DCC Compact Classics is a specialty record label known for producing high-quality audiophile reissues of classic film scores and popular music.
  • D. DDC
    DDC is the Swiss Agency for Development and Cooperation, the Swiss government’s main body responsible for international development and humanitarian aid.
  • E. DDC
    DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67957ebc8190b187f557bd01d58d completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.