Triple

T28441522
Position Surface form Disambiguated ID Type / Status
Subject Margarethe Krupp E715722 entity
Predicate notable project location P42588 FINISHED
Object Essen-Margarethenhöhe
Essen-Margarethenhöhe is a historic garden city district in Essen, Germany, renowned as one of the earliest and most influential examples of socially oriented workers’ housing in the country.
 E1820167 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: Essen-Margarethenhöhe | Statement: [Margarethe Krupp, notable project location, Essen-Margarethenhöhe]
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: Essen-Margarethenhöhe
Triple: [Margarethe Krupp, notable project location, Essen-Margarethenhöhe]
Generated description
Essen-Margarethenhöhe is a historic garden city district in Essen, Germany, renowned as one of the earliest and most influential examples of socially oriented workers’ housing in the country.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notable project location
Context triple: [Margarethe Krupp, notable project location, Essen-Margarethenhöhe]
  • A. locationOfMajorProject
    Indicates the place where a significant or primary project is based, conducted, or implemented.
  • B. notableLocation
    Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
  • C. notableProjectArea
    Indicates that an entity has a significant or distinguished project specifically associated with a particular area or domain.
  • D. hasNotableProjectLocation chosen
    Indicates that an entity has a significant or noteworthy project situated at a particular location.
  • E. notableProjectFor
    Indicates that a particular project is especially significant, prominent, or noteworthy for a given entity.
  • 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_69efd6b44550819094ae991b553d9fc3 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_6a01185c46f0819089b4a2ad3c3e2f33 completed May 10, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a164183e7908190ad808ff40a061671 completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a164254fccc81908548129d297e80f6 completed May 27, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a164560d6d881909df0e46c9bb90f08 completed May 27, 2026, 1:14 a.m.
PD Predicate disambiguation batch_6a0117e19e008190870663dd45084416 completed May 10, 2026, 11:42 p.m.
Created at: April 28, 2026, 1:46 a.m.