Triple

T32955452
Position Surface form Disambiguated ID Type / Status
Subject Jüchen E843085 entity
Predicate hasMiningAreaNearby P38268 FINISHED
Object Garzweiler surface mine
Garzweiler surface mine is a large open-cast lignite (brown coal) mine in North Rhine-Westphalia, Germany, known for its extensive environmental impact and the relocation of nearby villages.
E2030576 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: Garzweiler surface mine | Statement: [Jüchen, hasMiningAreaNearby, Garzweiler surface mine]
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: Garzweiler surface mine
Triple: [Jüchen, hasMiningAreaNearby, Garzweiler surface mine]
Generated description
Garzweiler surface mine is a large open-cast lignite (brown coal) mine in North Rhine-Westphalia, Germany, known for its extensive environmental impact and the relocation of nearby villages.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMiningAreaNearby
Context triple: [Jüchen, hasMiningAreaNearby, Garzweiler surface mine]
  • A. hasMiningArea
    Indicates that an entity possesses, controls, or is associated with a designated area where mining activities take place.
  • B. hasCoalMineNearby
    Indicates that a location or entity is situated close to at least one coal mine.
  • C. hasNearbyMine chosen
    Indicates that one entity is located close to or in the vicinity of a mine associated with another entity.
  • D. hasMiningDistrict
    Indicates that an entity possesses, contains, or is associated with a designated mining district within its domain or jurisdiction.
  • E. hasNearbyProductionArea
    Indicates that one entity has a production area located in close physical proximity to it.
  • 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_69f3494a31f481909057136e49b4fe60 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fbad1e94988190b86d447a68e65067 completed May 6, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34d278d4d88190a83d385a45f3cd59 completed June 19, 2026, 5:24 a.m.
NEDg Description generation batch_6a34d30d5a7c8190b05f04ed591361b0 completed June 19, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a34d405a48c8190ab95daacc1a06ff5 completed June 19, 2026, 5:30 a.m.
PD Predicate disambiguation batch_69fba881b8e0819094790935152b99a1 completed May 6, 2026, 8:45 p.m.
Created at: May 1, 2026, 1:21 a.m.