Triple

T3842362
Position Surface form Disambiguated ID Type / Status
Subject Pankow E93479 entity
Predicate contains P35 FINISHED
Object Französisch Buchholz
Französisch Buchholz is a northeastern locality of Berlin known for its village-like character and incorporation into the borough of Pankow.
E393551 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: Französisch Buchholz | Statement: [Pankow, contains, Französisch Buchholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Französisch Buchholz
Context triple: [Pankow, contains, Französisch Buchholz]
  • A. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • B. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • E. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • 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: Französisch Buchholz
Triple: [Pankow, contains, Französisch Buchholz]
Generated description
Französisch Buchholz is a northeastern locality of Berlin known for its village-like character and incorporation into the borough of Pankow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Französisch Buchholz
Target entity description: Französisch Buchholz is a northeastern locality of Berlin known for its village-like character and incorporation into the borough of Pankow.
  • A. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • B. Plauen
    Plauen is a historic town in eastern Germany known for its textile industry and intricate lace production.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • E. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:18 p.m.