Triple

T19800258
Position Surface form Disambiguated ID Type / Status
Subject Hallwilersee E475652 entity
Predicate adjacentTo P224 FINISHED
Object Gelfingen
Gelfingen is a village in the canton of Lucerne in Switzerland, situated near Lake Hallwil and known for its rural, lakeside setting.
E1106143 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: Gelfingen | Statement: [Hallwilersee, adjacentTo, Gelfingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gelfingen
Context triple: [Hallwilersee, adjacentTo, Gelfingen]
  • A. Gelfingen
    Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
  • B. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • C. Geldern
    Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
  • D. Gerolfingen
    Gerolfingen is a small municipality in the Ansbach district of Bavaria, Germany, situated near the Hesselberg, the region’s highest mountain.
  • E. Goeferdinge
    Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • 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: Gelfingen
Triple: [Hallwilersee, adjacentTo, Gelfingen]
Generated description
Gelfingen is a village in the canton of Lucerne in Switzerland, situated near Lake Hallwil and known for its rural, lakeside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gelfingen
Target entity description: Gelfingen is a village in the canton of Lucerne in Switzerland, situated near Lake Hallwil and known for its rural, lakeside setting.
  • A. Gelfingen chosen
    Gelfingen is a municipality in the Swiss canton of Lucerne, known for its scenic setting near Lake Baldegg.
  • B. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • C. Geldern
    Geldern is a historic town in western Germany, notable as the namesake and former center of the medieval Duchy of Guelders.
  • D. Gerolfingen
    Gerolfingen is a small municipality in the Ansbach district of Bavaria, Germany, situated near the Hesselberg, the region’s highest mountain.
  • E. Goeferdinge
    Goeferdinge is a village in the Flemish province of East Flanders, Belgium, that forms part of the municipality of Geraardsbergen.
  • F. None of above.

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cb865c81909696d2b37476f62f completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccc650948190af32c50e82aedf9a completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07cfbebe848190a1e7cce64ec19df9 completed May 16, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_6a07d050623c8190bfd3c05193794101 completed May 16, 2026, 2:02 a.m.
Created at: April 10, 2026, 1:49 p.m.