Triple
T31092952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomioka, Fukushima Prefecture |
E792439
|
entity |
| Predicate | preDisasterCharacteristic |
P124431
|
FINISHED |
| Object | host community for nuclear power-related facilities |
—
|
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: host community for nuclear power-related facilities | Statement: [Tomioka, Fukushima Prefecture, preDisasterCharacteristic, host community for nuclear power-related facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preDisasterCharacteristic Context triple: [Tomioka, Fukushima Prefecture, preDisasterCharacteristic, host community for nuclear power-related facilities]
-
A.
preDisasterStatus
chosen
Indicates the condition or state of an entity as it existed before a specific disaster occurred.
-
B.
防災上の特徴
Indicates a relationship where an entity possesses characteristics or features relevant to disaster prevention or mitigation.
-
C.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
D.
impactOfDisasters
Indicates the effects or consequences that disasters have on entities, conditions, or outcomes.
-
E.
preEarthquakeFeature
Indicates a feature or condition that existed prior to an earthquake event.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:02 p.m.