Triple
T1979366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukushima Daiichi nuclear disaster |
E42988
|
entity |
| Predicate | estimatedDecommissioningDuration |
P35723
|
FINISHED |
| Object | 30–40 years |
—
|
LITERAL FINISHED |
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: 30–40 years | Statement: [Fukushima Daiichi nuclear disaster, estimatedDecommissioningDuration, 30–40 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedDecommissioningDuration Context triple: [Fukushima Daiichi nuclear disaster, estimatedDecommissioningDuration, 30–40 years]
-
A.
decommissionedDate
Indicates the date on which an entity was formally taken out of service or retired from active use.
-
B.
removalPeriod
Indicates the time span during which something is taken away, deleted, or otherwise removed from availability or consideration.
-
C.
timeBetweenAnnouncementAndTermination
Indicates the duration of time that elapses between when something is officially announced and when it is subsequently terminated.
-
D.
decommissionedReason
Indicates the reason or cause for which an entity, typically an asset or system, was taken out of service or formally retired.
-
E.
demolitionPeriod
Indicates the time span during which the demolition of an entity or structure takes place.
- F. None of above. chosen
Provenance (4 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb96e07c08190beed60096e9d71b4 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:36 p.m.