Triple

T7678641
Position Surface form Disambiguated ID Type / Status
Subject Glatt River E173929 entity
Predicate flowsThrough P225 FINISHED
Object Oberglatt
Oberglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
E683482 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: Oberglatt | Statement: [Glatt River, flowsThrough, Oberglatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberglatt
Context triple: [Glatt River, flowsThrough, Oberglatt]
  • A. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • B. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • C. Oberwald
    Oberwald is a Swiss alpine village in the canton of Valais, known as a gateway to high mountain passes and scenic railway routes in the upper Rhône valley.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • 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: Oberglatt
Triple: [Glatt River, flowsThrough, Oberglatt]
Generated description
Oberglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oberglatt
Target entity description: Oberglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley near Zurich Airport.
  • A. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • B. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • C. Oberwald
    Oberwald is a Swiss alpine village in the canton of Valais, known as a gateway to high mountain passes and scenic railway routes in the upper Rhône valley.
  • D. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • E. Aarburg
    Aarburg is a historic Swiss town in the canton of Aargau, known for its prominent riverside fortress overlooking the Aare River.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fd18d88190888144a7d0f228d9 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9af1c081908b0e100390258eaa completed March 29, 2026, 4:37 a.m.
NEDg Description generation batch_69c8af2fdd048190ad54dc9a4396d171 completed March 29, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69c8afe14810819094a236fb8f96e562 completed March 29, 2026, 4:51 a.m.
Created at: March 27, 2026, 4:01 p.m.