Triple

T21357657
Position Surface form Disambiguated ID Type / Status
Subject Hammelburg E526677 entity
Predicate hasSubdivision P747 FINISHED
Object Diebach
Diebach is a small village and district of the town of Hammelburg in the Bavarian region of Germany.
E1535315 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: Diebach | Statement: [Hammelburg, hasSubdivision, Diebach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diebach
Context triple: [Hammelburg, hasSubdivision, Diebach]
  • A. Ottenbach
    Ottenbach is a small Swiss municipality in the canton of Zurich, known for its rural character and location along the Reuss River.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Kienbach
    Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
  • D. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • E. Weinböhla
    Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
  • 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: Diebach
Triple: [Hammelburg, hasSubdivision, Diebach]
Generated description
Diebach is a small village and district of the town of Hammelburg in the Bavarian region of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diebach
Target entity description: Diebach is a small village and district of the town of Hammelburg in the Bavarian region of Germany.
  • A. Ottenbach
    Ottenbach is a small Swiss municipality in the canton of Zurich, known for its rural character and location along the Reuss River.
  • B. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Kienbach
    Kienbach is a small river in Bavaria, Germany, that flows through the municipality of Herrsching am Ammersee into Lake Ammersee.
  • D. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • E. Weinböhla
    Weinböhla is a small municipality in the German state of Saxony, known for its wine-growing tradition and location near the Elbe River between Dresden and Meißen.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0c6fec88190a7f334178a30d9dc completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af1e319848190bd12804239ba4d89 completed May 18, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0af29431648190a506d5e1a4fc9ce7 completed May 18, 2026, 11:05 a.m.
Created at: April 16, 2026, 5:07 p.m.