Triple

T31884484
Position Surface form Disambiguated ID Type / Status
Subject Windscale fire E813969 entity
Predicate severityRating P132130 FINISHED
Object INES level 5
INES level 5 is a classification on the International Nuclear and Radiological Event Scale denoting an accident with wider consequences, involving significant release of radioactive material or serious damage to nuclear facilities.
 E1982482 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: INES level 5 | Statement: [Windscale fire, severityRating, INES level 5]
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: INES level 5
Triple: [Windscale fire, severityRating, INES level 5]
Generated description
INES level 5 is a classification on the International Nuclear and Radiological Event Scale denoting an accident with wider consequences, involving significant release of radioactive material or serious damage to nuclear facilities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: severityRating
Context triple: [Windscale fire, severityRating, INES level 5]
  • A. caseSeverity chosen
    Indicates the level of seriousness or intensity associated with a particular case or incident.
  • B. impactLevel
    Indicates the degree or intensity of effect that one entity, action, or event has on another.
  • C. affectedLevel
    Indicates the degree or extent to which one entity is impacted or influenced by another entity or event.
  • D. fastSeverity
    Indicates the level or intensity of severity associated with something that is fast or time-critical.
  • E. ratingCategory
    Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
  • 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_69f348ed74bc81909846aaa6a3c7318c completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b0daa4988190b78498e7da6a30dd completed May 3, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e7fe591bc819098ecfe852e88149e completed June 14, 2026, 10:18 a.m.
NEDg Description generation batch_6a2e80bfc09c81908b0f21d5dc3629e9 completed June 14, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2e81c63b8081909989e5e18ce19954 completed June 14, 2026, 10:26 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:57 p.m.