Triple

T10158768
Position Surface form Disambiguated ID Type / Status
Subject DCC E233834 entity
Predicate hasVariant P455 FINISHED
Object DCC SEND E233834 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 SEND | Statement: [DCC, hasVariant, DCC SEND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCC SEND
Context triple: [DCC, hasVariant, DCC SEND]
  • A. DCC
    DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
  • B. DCC chosen
    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. DCCPS
    DCCPS is a branch of the U.S. National Cancer Institute that leads research and programs focused on cancer prevention, control, and population sciences.
  • D. DCCED
    DCCED is the Alaska state government department responsible for promoting economic growth, supporting communities, and overseeing commerce-related activities.
  • E. DDC
    DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.