Triple
T31220028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namie, Fukushima Prefecture |
E795982
|
entity |
| Predicate | hasNuclearAccidentAssociation |
P194996
|
FINISHED |
| Object | Fukushima Daiichi Nuclear Power Plant accident |
—
|
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: Fukushima Daiichi Nuclear Power Plant accident | Statement: [Namie, Fukushima Prefecture, hasNuclearAccidentAssociation, Fukushima Daiichi Nuclear Power Plant accident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNuclearAccidentAssociation Context triple: [Namie, Fukushima Prefecture, hasNuclearAccidentAssociation, Fukushima Daiichi Nuclear Power Plant accident]
-
A.
hasNuclearActivity
Indicates that an entity engages in, is involved with, or possesses capabilities related to nuclear activities or operations.
-
B.
hasNuclearActivityType
Indicates that an entity is associated with a specific type or category of nuclear-related activity.
-
C.
reactorInvolvedInAccident
Indicates that a specific reactor participated in, contributed to, or was directly affected by a particular accident event.
-
D.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
E.
oneOfWorstNuclearAccidentsWith
Indicates that the subject is associated with another entity as being among the worst nuclear accidents together with it.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: April 29, 2026, 9:10 p.m.