Triple
T31016346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Futaba District, Fukushima Prefecture |
E790335
|
entity |
| Predicate | hasMajorIndustryBefore2011 |
P3008
|
FINISHED |
| Object | nuclear power |
—
|
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: nuclear power | Statement: [Futaba District, Fukushima Prefecture, hasMajorIndustryBefore2011, nuclear power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorIndustryBefore2011 Context triple: [Futaba District, Fukushima Prefecture, hasMajorIndustryBefore2011, nuclear power]
-
A.
hasMajorEmployerHistory
Indicates that an entity has a documented history of employment with a major or significant employer.
-
B.
hasHistoricIndustry
chosen
Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
-
C.
hadStateOwnershipOfIndustry
Indicates that a governing authority or state entity possessed ownership and control over a particular industry.
-
D.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
E.
hasNoMajorIndustry
Indicates that the referenced place or entity does not possess any dominant or significant industrial sector.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
Created at: April 29, 2026, 8:57 p.m.