Triple

T15779424
Position Surface form Disambiguated ID Type / Status
Subject Landquart E382572 entity
Predicate confluenceNear P8203 FINISHED
Object Landquart (municipality)
Landquart is a municipality in the canton of Graubünden in eastern Switzerland, known as a regional transport hub and gateway to the Swiss Alps.
 E1178017 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: Landquart (municipality) | Statement: [Landquart, confluenceNear, Landquart (municipality)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landquart (municipality)
Context triple: [Landquart, confluenceNear, Landquart (municipality)]
  • A. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • B. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • 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. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • 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: Landquart (municipality)
Triple: [Landquart, confluenceNear, Landquart (municipality)]
Generated description
Landquart is a municipality in the canton of Graubünden in eastern Switzerland, known as a regional transport hub and gateway to the Swiss Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landquart (municipality)
Target entity description: Landquart is a municipality in the canton of Graubünden in eastern Switzerland, known as a regional transport hub and gateway to the Swiss Alps.
  • A. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • B. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • C. Kesswil
    Kesswil is a small Swiss village on the shores of Lake Constance, best known as the birthplace of the influential psychiatrist and psychoanalyst Carl Gustav Jung.
  • 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. Villigen
    Villigen is a municipality in the canton of Aargau, Switzerland, known for hosting major scientific research facilities.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9987140c8190a50da103905a7930 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a70eafc8190a2e9c87150267c4a completed May 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69ff9acbd2b481908b9d415e26d0db81 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:48 a.m.