Triple

T21330143
Position Surface form Disambiguated ID Type / Status
Subject Einbeck E525875 entity
Predicate hasSubdivision P747 FINISHED
Object Kernstadt Einbeck
Kernstadt Einbeck is the central urban core and main built-up area of the town of Einbeck in Lower Saxony, Germany.
E1483144 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: Kernstadt Einbeck | Statement: [Einbeck, hasSubdivision, Kernstadt Einbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kernstadt Einbeck
Context triple: [Einbeck, hasSubdivision, Kernstadt Einbeck]
  • A. Schöppingen
    Schöppingen is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and location near the Dutch border.
  • B. Kernstadt Rüthen
    Kernstadt Rüthen is the central urban core and main built-up area of the town of Rüthen in North Rhine-Westphalia, Germany.
  • C. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • D. Weickede
    Weickede is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • E. Northeim
    Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
  • 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: Kernstadt Einbeck
Triple: [Einbeck, hasSubdivision, Kernstadt Einbeck]
Generated description
Kernstadt Einbeck is the central urban core and main built-up area of the town of Einbeck in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kernstadt Einbeck
Target entity description: Kernstadt Einbeck is the central urban core and main built-up area of the town of Einbeck in Lower Saxony, Germany.
  • A. Schöppingen
    Schöppingen is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and location near the Dutch border.
  • B. Kernstadt Rüthen
    Kernstadt Rüthen is the central urban core and main built-up area of the town of Rüthen in North Rhine-Westphalia, Germany.
  • C. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • D. Weickede
    Weickede is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • E. Northeim
    Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5076f48190a9c89c7de4741779 completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c291709481908028762a670654ff completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c34f94108190bc5a5814c40c3550 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3d49b8c8190b5a138cb0530ca70 completed May 17, 2026, 1:34 p.m.
Created at: April 16, 2026, 4:42 p.m.