Triple

T27521145
Position Surface form Disambiguated ID Type / Status
Subject Berlin Police E694708 entity
Predicate policeTrainingProvidedBy P40765 FINISHED
Object Hochschule für Wirtschaft und Recht Berlin
Hochschule für Wirtschaft und Recht Berlin is a public university of applied sciences in Berlin specializing in business, law, and public administration, including programs for law enforcement and security services.
E1777543 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: Hochschule für Wirtschaft und Recht Berlin | Statement: [Berlin Police, policeTrainingProvidedBy, Hochschule für Wirtschaft und Recht Berlin]
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: Hochschule für Wirtschaft und Recht Berlin
Triple: [Berlin Police, policeTrainingProvidedBy, Hochschule für Wirtschaft und Recht Berlin]
Generated description
Hochschule für Wirtschaft und Recht Berlin is a public university of applied sciences in Berlin specializing in business, law, and public administration, including programs for law enforcement and security services.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policeTrainingProvidedBy
Context triple: [Berlin Police, policeTrainingProvidedBy, Hochschule für Wirtschaft und Recht Berlin]
  • A. providesTrainingFor chosen
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • B. hasPoliceAcademy
    Indicates that an entity operates, is associated with, or includes a police academy as part of its structure or services.
  • C. lawEnforcementCertification
    Indicates that an entity has been officially certified or authorized to perform law enforcement duties.
  • D. jurisdictionOfTraining
    Indicates the legal or regulatory authority under which the training is conducted or recognized.
  • E. hasPoliceInstitution
    Indicates that an entity is associated with, governed by, or served by a particular police institution or law enforcement body.
  • 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_69ef538550208190aa9de8e2cb260d93 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5ad2cf881908e983f96b2cb87b1 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6d263e081908a23dfd19fba2df2 completed May 24, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a12c79229e08190830d0c8f139a228c completed May 24, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
Created at: April 27, 2026, 1:21 p.m.