Triple

T12055452
Position Surface form Disambiguated ID Type / Status
Subject Alt St. Johann E287028 entity
Predicate borderedBy P224 FINISHED
Object Walenstadt
Walenstadt is a Swiss town on the shores of Lake Walen in the canton of St. Gallen, known for its scenic alpine surroundings and outdoor recreation opportunities.
E960890 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: Walenstadt | Statement: [Alt St. Johann, borderedBy, Walenstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walenstadt
Context triple: [Alt St. Johann, borderedBy, Walenstadt]
  • A. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • B. Eysins
    Eysins is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Nyon and close to Lake Geneva.
  • C. Reichenau
    Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
  • D. Lindau
    Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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: Walenstadt
Triple: [Alt St. Johann, borderedBy, Walenstadt]
Generated description
Walenstadt is a Swiss town on the shores of Lake Walen in the canton of St. Gallen, known for its scenic alpine surroundings and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walenstadt
Target entity description: Walenstadt is a Swiss town on the shores of Lake Walen in the canton of St. Gallen, known for its scenic alpine surroundings and outdoor recreation opportunities.
  • A. Schorisse
    Schorisse is a village in East Flanders, Belgium, that now forms part of the municipality of Maarkedal.
  • B. Eysins
    Eysins is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Nyon and close to Lake Geneva.
  • C. Reichenau
    Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
  • D. Lindau
    Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90425258c8190ba7b3b837c439253 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.