Triple

T13635032
Position Surface form Disambiguated ID Type / Status
Subject Bad Schandau E325825 entity
Predicate hasSubdivision P747 FINISHED
Object Wolfsgrün
Wolfsgrün is a small locality that forms part of the spa town of Bad Schandau in Saxony, Germany.
 E1052187 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: Wolfsgrün | Statement: [Bad Schandau, hasSubdivision, Wolfsgrün]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolfsgrün
Context triple: [Bad Schandau, hasSubdivision, Wolfsgrün]
  • A. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • B. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • C. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • D. Die Rothosen
    Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
  • E. The Green Child
    The Green Child is a 1935 philosophical fantasy novel by English critic and anarchist Herbert Read, blending surreal adventure with political and metaphysical themes.
  • 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: Wolfsgrün
Triple: [Bad Schandau, hasSubdivision, Wolfsgrün]
Generated description
Wolfsgrün is a small locality that forms part of the spa town of Bad Schandau in Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolfsgrün
Target entity description: Wolfsgrün is a small locality that forms part of the spa town of Bad Schandau in Saxony, Germany.
  • A. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • B. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • C. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • D. Die Rothosen
    Die Rothosen is the traditional German football club Hamburger SV’s nickname, referring to the team’s iconic red shorts and kit colors.
  • E. The Green Child
    The Green Child is a 1935 philosophical fantasy novel by English critic and anarchist Herbert Read, blending surreal adventure with political and metaphysical themes.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd316788190a245e8199f6ac87b completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c9f543481909a0de6a0c3bb041f completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:51 p.m.