Triple

T4314311
Position Surface form Disambiguated ID Type / Status
Subject Rhön E94149 entity
Predicate hasSettlement P1068 FINISHED
Object Tann (Rhön)
Tann (Rhön) is a small historic town in the Rhön Mountains of Hesse, Germany, known for its picturesque half-timbered houses and surrounding natural landscapes.
 E430390 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: Tann (Rhön) | Statement: [Rhön, hasSettlement, Tann (Rhön)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tann (Rhön)
Context triple: [Rhön, hasSettlement, Tann (Rhön)]
  • A. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • C. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • D. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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: Tann (Rhön)
Triple: [Rhön, hasSettlement, Tann (Rhön)]
Generated description
Tann (Rhön) is a small historic town in the Rhön Mountains of Hesse, Germany, known for its picturesque half-timbered houses and surrounding natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tann (Rhön)
Target entity description: Tann (Rhön) is a small historic town in the Rhön Mountains of Hesse, Germany, known for its picturesque half-timbered houses and surrounding natural landscapes.
  • A. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Münstertal
    Münstertal is a picturesque municipality in Germany’s Black Forest region, known for its scenic valley landscapes and traditional rural character.
  • C. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • D. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d07e7a288190b1fcd0075d14cd11 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d0f6d1d48190a3ecd1765043ac58 completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d18381288190948a7a0c42dc8cbf completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:12 p.m.