Triple

T33037096
Position Surface form Disambiguated ID Type / Status
Subject Alsdorf E845345 entity
Predicate coalMine P105168 FINISHED
Object Grube Anna
Grube Anna was a major coal mine in Alsdorf, Germany, that played a central role in the region’s industrial and mining history.
 E2035022 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: Grube Anna | Statement: [Alsdorf, coalMine, Grube Anna]
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: Grube Anna
Triple: [Alsdorf, coalMine, Grube Anna]
Generated description
Grube Anna was a major coal mine in Alsdorf, Germany, that played a central role in the region’s industrial and mining history.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: coalMine
Context triple: [Alsdorf, coalMine, Grube Anna]
  • A. coalMinedFrom
    Indicates that a quantity or batch of coal has been extracted from a particular source location, such as a mine or geological deposit.
  • B. mineName
    Indicates that an entity has or is associated with a specific mine identified by a given name.
  • C. coalTypeMined
    Indicates that a particular type of coal is extracted or produced through mining at a given location or by a given agent.
  • D. miningSite chosen
    Indicates a location where mining activities or mineral extraction operations take place.
  • 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_69f34951348c8190b56746b0a7018182 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e511fa448190875627d9cc37c6c9 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e654e7288190ae18f37300d8bfb6 completed June 19, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a34e7032cac81909ef52e16456c9a15 completed June 19, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:24 a.m.