Triple

T6481145
Position Surface form Disambiguated ID Type / Status
Subject Maryland Department of Natural Resources E146393 entity
Predicate hasPart P35 FINISHED
Object Land Acquisition and Planning unit
The Land Acquisition and Planning unit is a division of Maryland’s Department of Natural Resources responsible for acquiring and managing land and developing long-term conservation and recreation plans for the state’s natural resources.
E596488 NE FINISHED

How this triple was built (4 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: Land Acquisition and Planning unit | Statement: [Maryland Department of Natural Resources, hasPart, Land Acquisition and Planning unit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Land Acquisition and Planning unit
Context triple: [Maryland Department of Natural Resources, hasPart, Land Acquisition and Planning unit]
  • A. Land Acquisition Section
    The Land Acquisition Section is a specialized unit within the U.S. Department of Justice that handles legal matters related to the acquisition of land and real property for federal use.
  • B. Land Utilization Division
    The Land Utilization Division was a New Deal–era U.S. government unit responsible for planning and managing the purchase, rehabilitation, and resettlement of submarginal or poorly used agricultural lands.
  • C. Ministry of Town and Country Planning
    The Ministry of Town and Country Planning was a UK government department responsible for postwar land-use planning and the creation of new towns to manage urban growth and reconstruction.
  • D. Centre for Planning
    The Centre for Planning is a specialized unit within the Norwegian Institute of Public Health focused on strategic development, coordination, and preparedness in public health initiatives.
  • E. Department of Physical Planning
    The Department of Physical Planning is an academic unit at the School of Planning and Architecture, Delhi, focused on education and research in spatial, urban, and regional planning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Land Acquisition and Planning unit
Triple: [Maryland Department of Natural Resources, hasPart, Land Acquisition and Planning unit]
Generated description
The Land Acquisition and Planning unit is a division of Maryland’s Department of Natural Resources responsible for acquiring and managing land and developing long-term conservation and recreation plans for the state’s natural resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Land Acquisition and Planning unit
Target entity description: The Land Acquisition and Planning unit is a division of Maryland’s Department of Natural Resources responsible for acquiring and managing land and developing long-term conservation and recreation plans for the state’s natural resources.
  • A. Land Acquisition Section
    The Land Acquisition Section is a specialized unit within the U.S. Department of Justice that handles legal matters related to the acquisition of land and real property for federal use.
  • B. Land Utilization Division
    The Land Utilization Division was a New Deal–era U.S. government unit responsible for planning and managing the purchase, rehabilitation, and resettlement of submarginal or poorly used agricultural lands.
  • C. Ministry of Town and Country Planning
    The Ministry of Town and Country Planning was a UK government department responsible for postwar land-use planning and the creation of new towns to manage urban growth and reconstruction.
  • D. Centre for Planning
    The Centre for Planning is a specialized unit within the Norwegian Institute of Public Health focused on strategic development, coordination, and preparedness in public health initiatives.
  • E. Department of Physical Planning
    The Department of Physical Planning is an academic unit at the School of Planning and Architecture, Delhi, focused on education and research in spatial, urban, and regional planning.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c6559d06c8819082cad37d62fcb3a3 completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c6564e01748190a3a12abcc0dfd30f completed March 27, 2026, 10:05 a.m.
Created at: March 22, 2026, 4:51 p.m.