Triple

T14760571
Position Surface form Disambiguated ID Type / Status
Subject Lake Burgäschi E346848 entity
Predicate locatedNear P294 FINISHED
Object Burgäschi
Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
 E1129386 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: Burgäschi | Statement: [Lake Burgäschi, locatedNear, Burgäschi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burgäschi
Context triple: [Lake Burgäschi, locatedNear, Burgäschi]
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Bürglen
    Bürglen is a Swiss municipality in the alpine canton of Uri, known for its mountainous landscape and traditional rural character.
  • C. Besseggen
    Besseggen is a famous mountain ridge and hiking route in Norway known for its dramatic views between the lakes Gjende and Bessvatnet.
  • D. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • E. Oberägeri
    Oberägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
  • 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: Burgäschi
Triple: [Lake Burgäschi, locatedNear, Burgäschi]
Generated description
Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burgäschi
Target entity description: Burgäschi is a small Swiss locality known for its proximity to Lake Burgäschi, a scenic lake popular for recreation and nature activities.
  • A. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • B. Bürglen
    Bürglen is a Swiss municipality in the alpine canton of Uri, known for its mountainous landscape and traditional rural character.
  • C. Besseggen
    Besseggen is a famous mountain ridge and hiking route in Norway known for its dramatic views between the lakes Gjende and Bessvatnet.
  • D. Ophasselt
    Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
  • E. Oberägeri
    Oberägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc5532881909f3bab83dca8f295 completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8da1c7f08190b797b2f4fd2f3ca0 completed May 9, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_69fe8ded74b88190ad86ce2536e4357d completed May 9, 2026, 1:29 a.m.
Created at: April 10, 2026, 1:30 a.m.