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.