Triple

T6069390
Position Surface form Disambiguated ID Type / Status
Subject MPR E135240 entity
Predicate compositionIncludes P1393 FINISHED
Object DPR E136833 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: DPR | Statement: [MPR, compositionIncludes, DPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPR
Context triple: [MPR, compositionIncludes, DPR]
  • A. DPR chosen
    DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
  • B. DPR
    DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
  • C. LDPR
    LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
  • D. DPL
    DPL is a U.S. government export control list identifying individuals and organizations prohibited from participating in export-related activities.
  • E. DPA
    DPA is the FAA location identifier for DuPage Airport, a general aviation airport serving the western suburbs of Chicago, Illinois.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0574157848190bb8e0972eb55a363 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d2f43a88190a7a6834a7624998d completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.