Triple

T36679728

Position	Surface form	Disambiguated ID	Type / Status
Subject	2021 European floods	`E905644`	entity
Predicate	associatedWeatherSystem	`P32056`	FINISHED
Object	Cyclone Bernd Cyclone Bernd was a powerful low-pressure weather system that brought extreme rainfall and catastrophic flooding to parts of Western and Central Europe in July 2021.	`E2193964`	NE FINISHED

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: Cyclone Bernd | Statement: [2021 European floods, associatedWeatherSystem, Cyclone Bernd]

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: Cyclone Bernd
Triple: [2021 European floods, associatedWeatherSystem, Cyclone Bernd]

Generated description

Cyclone Bernd was a powerful low-pressure weather system that brought extreme rainfall and catastrophic flooding to parts of Western and Central Europe in July 2021.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: associatedWeatherSystem
Context triple: [2021 European floods, associatedWeatherSystem, Cyclone Bernd]

A. associatedWithWeather chosen
Indicates a relationship where something is connected or related to weather conditions or phenomena.
B. meteorologicalAgency
Indicates that one entity functions as the official meteorological agency responsible for providing weather and climate services for another entity or region.
C. meteorologicalType
Indicates that something is classified according to its meteorological category or type (e.g., kind of weather or atmospheric phenomenon).
D. stormName
Indicates that a particular storm is identified or designated by a specific name.
E. associatedWithPrecipitationType
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
F. None of above.

Provenance (6 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_69f76e7011dc819082b324f18b756a1b`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3a20e007b48190a1f55d71d7d617ce`	completed	June 23, 2026, 6 a.m.
NEDg	Description generation	`batch_6a3a21a5d1f4819089fe5c6b52412012`	completed	June 23, 2026, 6:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3a2219688881908f62dd0a5e70eced`	completed	June 23, 2026, 6:05 a.m.
PD	Predicate disambiguation	`batch_6a037a0e039481908a4a2666f76c5363`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:12 p.m.