Triple
T31884484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windscale fire |
E813969
|
entity |
| Predicate | severityRating |
P132130
|
FINISHED |
| Object | INES level 5 |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:57 p.m.