Triple

T17142840
Position Surface form Disambiguated ID Type / Status
Subject Baar, Switzerland E416012 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Steinhausen
Steinhausen is a municipality in the canton of Zug in central Switzerland, known for its residential character and proximity to the city of Zug.
 E1258136 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: Steinhausen | Statement: [Baar, Switzerland, hasNeighboringMunicipality, Steinhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steinhausen
Context triple: [Baar, Switzerland, hasNeighboringMunicipality, Steinhausen]
  • A. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • B. Tennstädt
    Tennstädt is a small town in the Thuringia region of central Germany.
  • C. Regenstauf
    Regenstauf is a market town in the Upper Palatinate region of Bavaria, Germany, situated north of the city of Regensburg along the river Regen.
  • D. Kottenheim
    Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
  • E. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • 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: Steinhausen
Triple: [Baar, Switzerland, hasNeighboringMunicipality, Steinhausen]
Generated description
Steinhausen is a municipality in the canton of Zug in central Switzerland, known for its residential character and proximity to the city of Zug.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steinhausen
Target entity description: Steinhausen is a municipality in the canton of Zug in central Switzerland, known for its residential character and proximity to the city of Zug.
  • A. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • B. Tennstädt
    Tennstädt is a small town in the Thuringia region of central Germany.
  • C. Regenstauf
    Regenstauf is a market town in the Upper Palatinate region of Bavaria, Germany, situated north of the city of Regensburg along the river Regen.
  • D. Kottenheim
    Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
  • E. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016743eb688190bdb5d85ed144ca1d completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016b4d4cb881908f196de0d74da327 completed May 11, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_6a016bdc66b081908c9b391503e7a814 completed May 11, 2026, 5:40 a.m.
Created at: April 10, 2026, 5:36 a.m.