Triple

T6481116
Position Surface form Disambiguated ID Type / Status
Subject Maryland Department of Natural Resources E146393 entity
Predicate abbreviation P43 FINISHED
Object DNR E146393 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: DNR | Statement: [Maryland Department of Natural Resources, abbreviation, DNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNR
Context triple: [Maryland Department of Natural Resources, abbreviation, DNR]
  • A. DNR chosen
    DNR is the Maryland state agency responsible for conserving and managing the state's natural resources, including forests, parks, wildlife, and waterways.
  • B. DNR
    DNR is the commonly used abbreviation for the Michigan Department of Natural Resources, the state agency responsible for managing Michigan’s natural resources, parks, and wildlife.
  • C. D.N.H.
    D.N.H. is the standard legal abbreviation for the United States District Court for the District of New Hampshire, a federal trial court within the First Circuit.
  • D. DWR
    DWR is the California state agency responsible for managing and protecting the state’s water resources and infrastructure.
  • E. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4fe90c81908a7ce61e71f48a16 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653aceb8c8190aff0abf15b049737 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:51 p.m.