Triple

T20020552
Position Surface form Disambiguated ID Type / Status
Subject Affoltern am Albis E494843 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Rifferswil
Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
E1429714 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: Rifferswil | Statement: [Affoltern am Albis, hasNeighboringMunicipality, Rifferswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rifferswil
Context triple: [Affoltern am Albis, hasNeighboringMunicipality, Rifferswil]
  • A. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • B. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • C. Retschwil
    Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
  • D. Bäriswil
    Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • E. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • 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: Rifferswil
Triple: [Affoltern am Albis, hasNeighboringMunicipality, Rifferswil]
Generated description
Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rifferswil
Target entity description: Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
  • A. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • B. Walchwil
    Walchwil is a picturesque Swiss municipality in the canton of Zug, known for its scenic location on the eastern shore of Lake Zug and views of the surrounding Alps.
  • C. Retschwil
    Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
  • D. Bäriswil
    Bäriswil is a small municipality in the canton of Bern in Switzerland, known for its rural character and proximity to the city of Bern.
  • E. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623fe1988190a1c09d392d866dc8 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b032b788190b33a4f380792749c completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088014c30c8190937586dc3f23862e completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08810e37c08190bd7e8b584204064c completed May 16, 2026, 2:37 p.m.
Created at: April 11, 2026, 3:34 p.m.