Triple

T28952553
Position Surface form Disambiguated ID Type / Status
Subject Geiseltalsee E731056 entity
Predicate locatedInMiningArea P80678 FINISHED
Object Geiseltal lignite mining district
The Geiseltal lignite mining district is a former large-scale open-cast brown coal mining area in Saxony-Anhalt, Germany, that has been extensively recultivated and partly flooded to form lakes such as the Geiseltalsee.
 E717334 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: Geiseltal lignite mining district | Statement: [Geiseltalsee, locatedInMiningArea, Geiseltal lignite mining district]
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: Geiseltal lignite mining district
Triple: [Geiseltalsee, locatedInMiningArea, Geiseltal lignite mining district]
Generated description
The Geiseltal lignite mining district is a former large-scale open-cast brown coal mining area in Saxony-Anhalt, Germany, that has been extensively recultivated and partly flooded to form lakes such as the Geiseltalsee.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedInMiningArea
Context triple: [Geiseltalsee, locatedInMiningArea, Geiseltal lignite mining district]
  • A. locatedInMiningDistrict
    Indicates that one entity is situated within the geographic or administrative boundaries of a specified mining district.
  • B. locatedInMiningBelt
    Indicates that an entity is situated within a designated mining belt or mining region.
  • C. locatedInFormerMiningArea chosen
    Indicates that an entity is situated within an area that was previously used for mining activities.
  • D. locatedInMineType
    Indicates that something is situated within or associated with a specific type of mine.
  • E. hasCoalMineNearby
    Indicates that a location or entity is situated close to at least one coal mine.
  • 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_69f043eb9bcc819091ac7b07aecb6475 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69ffdf47d9608190830ca23d9cef6409 completed May 10, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec4db24081909c5277ca576ffb50 completed June 7, 2026, 3:58 a.m.
NEDg Description generation batch_6a24f066b990819095925ff855a3370e completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4d232f08190808f832d0536033c completed June 7, 2026, 4:34 a.m.
PD Predicate disambiguation batch_69ffdf00e2b4819082dd5cb78f316baf completed May 10, 2026, 1:27 a.m.
Created at: April 28, 2026, 8:44 a.m.