Triple
T33214885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizinge earthquake |
E850261
|
entity |
| Predicate | energyIndustryContext |
P70836
|
FINISHED |
| Object | Dutch natural gas production |
—
|
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: Dutch natural gas production | Statement: [Huizinge earthquake, energyIndustryContext, Dutch natural gas production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyIndustryContext Context triple: [Huizinge earthquake, energyIndustryContext, Dutch natural gas production]
-
A.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
-
B.
energyCooperation
Indicates a collaborative relationship in which entities work together to share, develop, or manage energy resources, technologies, or policies.
-
C.
energyAspect
chosen
Indicates a relationship where one entity represents an aspect, component, or characteristic related to the energy properties or behavior of another entity.
-
D.
operatorIndustry
Indicates that an operator (such as a company or organization) is engaged in or associated with a particular industry sector.
-
E.
coalUse
Indicates the use or consumption of coal by an entity, typically as a fuel or energy source.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:30 a.m.