Triple

T16855269
Position Surface form Disambiguated ID Type / Status
Subject Apis koschevnikovi E409765 entity
Predicate describedBy P264 FINISHED
Object Buttel-Reepen
Buttel-Reepen was an early 20th-century entomologist known for his taxonomic work on honey bees and other Hymenoptera.
 E1236325 NE FINISHED

How this triple was built (4 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: Buttel-Reepen | Statement: [Apis koschevnikovi, describedBy, Buttel-Reepen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buttel-Reepen
Context triple: [Apis koschevnikovi, describedBy, Buttel-Reepen]
  • A. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Rucphen
    Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
  • C. Bunschoten
    Bunschoten is a Dutch town and municipality known for its traditional fishing heritage and historic village character in the central Netherlands.
  • D. Heerdt
    Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
  • E. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Buttel-Reepen
Triple: [Apis koschevnikovi, describedBy, Buttel-Reepen]
Generated description
Buttel-Reepen was an early 20th-century entomologist known for his taxonomic work on honey bees and other Hymenoptera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buttel-Reepen
Target entity description: Buttel-Reepen was an early 20th-century entomologist known for his taxonomic work on honey bees and other Hymenoptera.
  • A. Zuunbeek
    Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
  • B. Rucphen
    Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
  • C. Bunschoten
    Bunschoten is a Dutch town and municipality known for its traditional fishing heritage and historic village character in the central Netherlands.
  • D. Heerdt
    Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
  • E. Humbeek
    Humbeek is a village in the Flemish Brabant province of Belgium, known as one of the constituent towns of the municipality of Grimbergen.
  • F. None of above. chosen

Provenance (5 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37c6e808190975b14b228253029 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2337348190ae79dc4b188c94cf completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbe7e4c4819081d0bfd1ac427c49 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc73e4e88190a8327ba48174f923 completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.