Triple

T333475
Position Surface form Disambiguated ID Type / Status
Subject New York City Department of Environmental Protection E6673 entity
Predicate usesResource P3097 FINISHED
Object New York City watershed system LITERAL 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: New York City watershed system | Statement: [New York City Department of Environmental Protection, usesResource, New York City watershed system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesResource
Context triple: [New York City Department of Environmental Protection, usesResource, New York City watershed system]
  • A. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • B. isUsedAs
    Indicates that one entity serves a particular function, role, or purpose as another entity.
  • C. usesElement chosen
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • D. canUse
    Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
  • E. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • F. None of above.

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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac4d9d081908a624464e450fb0e completed Feb. 28, 2026, 1:16 p.m.
PD Predicate disambiguation batch_69a2e94d99cc8190a112e4b630ec63c1 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.