Triple
T37440700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōkuma-machi |
E930410
|
entity |
| Predicate | radiationDecontaminationEfforts |
P187819
|
FINISHED |
| Object | conducted after 2011 disaster |
—
|
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: conducted after 2011 disaster | Statement: [Ōkuma-machi, radiationDecontaminationEfforts, conducted after 2011 disaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radiationDecontaminationEfforts Context triple: [Ōkuma-machi, radiationDecontaminationEfforts, conducted after 2011 disaster]
-
A.
usesRadiation
Indicates that an entity employs radiation as a means or component in performing an action, process, or function.
-
B.
debrisRecoveryEffort
Indicates efforts or actions undertaken to locate, collect, and secure debris resulting from an incident or event.
-
C.
affectsRadiation
Indicates that one entity has an influence on, modifies, or changes the radiation level, behavior, or properties of another entity.
-
D.
majorRadiation
Indicates that one entity is the primary or most significant source of radiation affecting another entity.
-
E.
radiationLevel
Indicates the intensity or amount of radiation present in or emitted by an entity or environment.
- 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_69f76ebfdcb8819098562ff3db673b04 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.