Triple

T22329306
Position Surface form Disambiguated ID Type / Status
Subject NVE E551980 entity
Predicate responsibility P268 FINISHED
Object national flood warning service NE NERFINISHED

How this triple was built (3 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: national flood warning service | Statement: [NVE, responsibility, national flood warning service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: national flood warning service
Context triple: [NVE, responsibility, national flood warning service]
  • A. National Weather Service
    The National Weather Service is the U.S. federal agency responsible for providing weather forecasts, warnings, and climate data to protect life and property and support the national economy.
  • B. national landslide warning service
    The national landslide warning service is Norway’s official system for monitoring slope stability and issuing alerts to protect people and infrastructure from landslides and related natural hazards.
  • C. National Weather Center
    The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
  • D. National Water Information System
    The National Water Information System is a comprehensive U.S. database and platform that provides access to nationwide water resources data, including streamflow, groundwater levels, water quality, and water use.
  • E. FEMA
    FEMA is an Indian law enacted in 1999 that governs foreign exchange transactions and aims to facilitate external trade and payments while promoting the orderly development of the country’s foreign exchange market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: national flood warning service
Target entity description: The national flood warning service is a country-wide system that monitors water levels and weather conditions to provide early alerts and guidance to authorities and the public about potential flooding.
  • A. National Weather Service
    The National Weather Service is the U.S. federal agency responsible for providing weather forecasts, warnings, and climate data to protect life and property and support the national economy.
  • B. national landslide warning service
    The national landslide warning service is Norway’s official system for monitoring slope stability and issuing alerts to protect people and infrastructure from landslides and related natural hazards.
  • C. National Weather Center
    The National Weather Center is a major U.S. hub for meteorological research, forecasting, and severe weather operations that houses multiple NOAA and academic weather agencies.
  • D. National Water Information System
    The National Water Information System is a comprehensive U.S. database and platform that provides access to nationwide water resources data, including streamflow, groundwater levels, water quality, and water use.
  • E. FEMA
    FEMA is an Indian law enacted in 1999 that governs foreign exchange transactions and aims to facilitate external trade and payments while promoting the orderly development of the country’s foreign exchange market.
  • F. None of above. chosen

Provenance (2 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1576ab52c819087563cd778d6bc5e completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.