Triple

T31472446
Position Surface form Disambiguated ID Type / Status
Subject Kissimmee River Restoration Project E802893 entity
Predicate restoresFloodplainArea P68543 FINISHED
Object tens of thousands of acres of wetlands 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: tens of thousands of acres of wetlands | Statement: [Kissimmee River Restoration Project, restoresFloodplainArea, tens of thousands of acres of wetlands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: restoresFloodplainArea
Context triple: [Kissimmee River Restoration Project, restoresFloodplainArea, tens of thousands of acres of wetlands]
  • A. floodplainWidth
    Indicates the measured horizontal extent or breadth of a floodplain associated with a water body or channel.
  • B. areaRestoredBy chosen
    Indicates that a specified area has been returned to a previous or improved condition through the actions or interventions of a particular agent or process.
  • C. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • D. hasFloodplains
    Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
  • E. designedForFloodMitigationOf
    Indicates that something is specifically created or configured to reduce, control, or manage flooding affecting a particular entity or area.
  • 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_69f348c84c1c81908739f100ecf7394e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abaa1f648190b77073771df3bf3b completed May 3, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69f6aa1e84b88190b025f6ca40f17a8a completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 9:27 p.m.