Triple

T20838226
Position Surface form Disambiguated ID Type / Status
Subject Schutterwald E513018 entity
Predicate hasSubdivision P747 FINISHED
Object Höfen
Höfen is a locality or district that forms part of the municipality of Schutterwald in the German state of Baden-Württemberg.
E1486952 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: Höfen | Statement: [Schutterwald, hasSubdivision, Höfen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Höfen
Context triple: [Schutterwald, hasSubdivision, Höfen]
  • A. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • B. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • C. Maierhöfen
    Maierhöfen is a small municipality in the Bavarian Allgäu region of southern Germany, known for its rural landscape and proximity to the Alps.
  • D. Fahrenzhausen
    Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
  • E. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • 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: Höfen
Triple: [Schutterwald, hasSubdivision, Höfen]
Generated description
Höfen is a locality or district that forms part of the municipality of Schutterwald in the German state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Höfen
Target entity description: Höfen is a locality or district that forms part of the municipality of Schutterwald in the German state of Baden-Württemberg.
  • A. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • B. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • C. Maierhöfen
    Maierhöfen is a small municipality in the Bavarian Allgäu region of southern Germany, known for its rural landscape and proximity to the Alps.
  • D. Fahrenzhausen
    Fahrenzhausen is a municipality in Upper Bavaria, Germany, situated north of Munich along the Amper River.
  • E. Gerhardshofen
    Gerhardshofen is a small rural municipality in the district of Neustadt an der Aisch-Bad Windsheim in the German state of Bavaria.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32928788190be8ca57923eefd7e completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cfd76e4081908de738aa0184c8d3 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d3c93fc08190a58e1e039ca1b419 completed May 17, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09d42e65d881908d4d2731a9de0cf5 completed May 17, 2026, 2:43 p.m.
Created at: April 16, 2026, 12:42 p.m.