Triple

T8663506
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Reutlingen E205604 entity
Predicate contains P35 FINISHED
Object Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
E790132 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: Sonnenbühl | Statement: [Landkreis Reutlingen, contains, Sonnenbühl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnenbühl
Context triple: [Landkreis Reutlingen, contains, Sonnenbühl]
  • A. Meisenbühl
    Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
  • B. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • C. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • 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: Sonnenbühl
Triple: [Landkreis Reutlingen, contains, Sonnenbühl]
Generated description
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonnenbühl
Target entity description: Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
  • A. Meisenbühl
    Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
  • B. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • C. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • D. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • E. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc489f7edc8190bde1b4dc09249207 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1495b3081909be160d97179b6e1 completed April 4, 2026, 6:35 a.m.
NEDg Description generation batch_69d0b2b9fbf4819083e594d676323c65 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b343a040819098620e2e3c451b39 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 6:30 p.m.