Triple

T24340585
Position Surface form Disambiguated ID Type / Status
Subject Hambach open-pit mine E613500 entity
Predicate fuelSupplyFor P51152 FINISHED
Object Niederaußem Power Station
Niederaußem Power Station is a large lignite-fired power plant in North Rhine-Westphalia, Germany, known for its high electricity output and significant carbon emissions.
 E1643385 NE FINISHED

How this triple was built (3 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: Niederaußem Power Station | Statement: [Hambach open-pit mine, fuelSupplyFor, Niederaußem Power Station]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Niederaußem Power Station
Triple: [Hambach open-pit mine, fuelSupplyFor, Niederaußem Power Station]
Generated description
Niederaußem Power Station is a large lignite-fired power plant in North Rhine-Westphalia, Germany, known for its high electricity output and significant carbon emissions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fuelSupplyFor
Context triple: [Hambach open-pit mine, fuelSupplyFor, Niederaußem Power Station]
  • A. fuelCondition
    Indicates the state or quality of fuel associated with an entity, such as its level, usability, or readiness for operation.
  • B. fuelSupplier chosen
    Indicates that one entity supplies fuel to another as a provider in a fuel-related relationship.
  • C. fuelSystem
    Indicates a relationship where one entity serves as the fuel system (or part of it) that supplies, stores, or manages fuel for the operation of another entity.
  • D. fueledBy
    Indicates that one entity provides the energy or power source that enables the operation or functioning of another entity.
  • E. fuelFraction
    Indicates the proportion of an object's total mass or capacity that consists of fuel.
  • F. None of above.

Provenance (6 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_69e2d7dcc5a08190b53691130d56cbc4 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2932461ec8190933bf1e56e0f647e completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10045b0c4c8190a2d0898cd044ea70 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10059a6d108190932d9729d2048640 completed May 22, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1005f98e208190ab37df1509611b89 completed May 22, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69f287ad30048190b3ad3613486f277f completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:57 a.m.