Triple

T21142659
Position Surface form Disambiguated ID Type / Status
Subject Gerlafingen E520970 entity
Predicate hasNeighbor P5707 FINISHED
Object Recherswil
Recherswil is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau and characterized by its rural-residential setting.
E1489564 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: Recherswil | Statement: [Gerlafingen, hasNeighbor, Recherswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Recherswil
Context triple: [Gerlafingen, hasNeighbor, Recherswil]
  • A. 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.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. Rifferswil
    Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
  • D. Retschwil
    Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
  • 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: Recherswil
Triple: [Gerlafingen, hasNeighbor, Recherswil]
Generated description
Recherswil is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau and characterized by its rural-residential setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Recherswil
Target entity description: Recherswil is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau and characterized by its rural-residential setting.
  • A. 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.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. Rifferswil
    Rifferswil is a small rural municipality in the canton of Zurich in Switzerland, known for its scenic landscape and traditional village character.
  • D. Retschwil
    Retschwil is a small Swiss lakeside locality in the canton of Lucerne, known for its rural setting and proximity to Lake Baldegg.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e8103c288190a6818521971b4d1c completed May 17, 2026, 4:08 p.m.
NEDg Description generation batch_6a09e8c687fc81908d3b8b7a2cdfedff completed May 17, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_6a09e93ff78c819099a9fed7a4874ba5 completed May 17, 2026, 4:13 p.m.
Created at: April 16, 2026, 2:57 p.m.