Triple

T11618098
Position Surface form Disambiguated ID Type / Status
Subject Boxing Day floods 2015 E275560 entity
Predicate mainCause P708 FINISHED
Object storm Eva
Storm Eva was a powerful Atlantic weather system in December 2015 that brought severe rainfall and strong winds to the UK and Ireland, contributing to widespread flooding and disruption.
E937131 NE FINISHED

How this triple was built (4 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: storm Eva | Statement: [Boxing Day floods 2015, mainCause, storm Eva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: storm Eva
Context triple: [Boxing Day floods 2015, mainCause, storm Eva]
  • A. Storm
    "Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
  • B. Storm
    Storm is the short name of the Lake Elsinore Storm, a Minor League Baseball team based in Lake Elsinore, California.
  • C. Storm
    "Storm" is a contemporary musical composition by British composer Judith Weir, reflecting her distinctive modern classical style and narrative-driven approach to writing.
  • D. Storm
    Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
  • E. Storm
    Storm is the short name of the Guelph Storm, a major junior ice hockey team in the Ontario Hockey League based in Guelph, Ontario, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: storm Eva
Triple: [Boxing Day floods 2015, mainCause, storm Eva]
Generated description
Storm Eva was a powerful Atlantic weather system in December 2015 that brought severe rainfall and strong winds to the UK and Ireland, contributing to widespread flooding and disruption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: storm Eva
Target entity description: Storm Eva was a powerful Atlantic weather system in December 2015 that brought severe rainfall and strong winds to the UK and Ireland, contributing to widespread flooding and disruption.
  • A. Storm
    "Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
  • B. Storm
    Storm is the short name of the Lake Elsinore Storm, a Minor League Baseball team based in Lake Elsinore, California.
  • C. Storm
    "Storm" is a contemporary musical composition by British composer Judith Weir, reflecting her distinctive modern classical style and narrative-driven approach to writing.
  • D. Storm
    Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
  • E. Storm
    Storm is an American hip hop group best known as part of the extended Outlawz collective associated with Tupac Shakur.
  • F. None of above. chosen

Provenance (5 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69ee9cf692e08190b135de0bd7f96274 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:38 p.m.