Triple

T19800138
Position Surface form Disambiguated ID Type / Status
Subject Beinwil am See E475650 entity
Predicate locatedIn P40 FINISHED
Object Seetal district
Seetal district is an administrative district in the canton of Aargau, Switzerland, known for its scenic lakeside landscapes and small towns.
 E1395050 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: Seetal district | Statement: [Beinwil am See, locatedIn, Seetal district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seetal district
Context triple: [Beinwil am See, locatedIn, Seetal district]
  • A. Harnai District
    Harnai District is an administrative district in Pakistan’s Balochistan province, known for its predominantly Pashtun population and mountainous terrain.
  • B. Gaj district
    Gaj district is a residential neighborhood in the city of Wrocław, Poland.
  • C. Kharwar District
    Kharwar District is an administrative district in eastern Afghanistan, located within Logar Province.
  • D. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • E. Betul district
    Betul district is an administrative region in the Indian state of Madhya Pradesh, known for its tribal population, forested landscapes, and agricultural economy.
  • 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: Seetal district
Triple: [Beinwil am See, locatedIn, Seetal district]
Generated description
Seetal district is an administrative district in the canton of Aargau, Switzerland, known for its scenic lakeside landscapes and small towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seetal district
Target entity description: Seetal district is an administrative district in the canton of Aargau, Switzerland, known for its scenic lakeside landscapes and small towns.
  • A. Harnai District
    Harnai District is an administrative district in Pakistan’s Balochistan province, known for its predominantly Pashtun population and mountainous terrain.
  • B. Gaj district
    Gaj district is a residential neighborhood in the city of Wrocław, Poland.
  • C. Kharwar District
    Kharwar District is an administrative district in eastern Afghanistan, located within Logar Province.
  • D. Sabha District
    Sabha District is an administrative region in southwestern Libya centered around the city of Sabha, a key hub in the Fezzan desert area.
  • E. Betul district
    Betul district is an administrative region in the Indian state of Madhya Pradesh, known for its tribal population, forested landscapes, and agricultural economy.
  • 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_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_6a07c5088834819086f4b8ac1e33401b completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5f5a2808190bab75011262f86e6 completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6745828819085ea6103a723380a completed May 16, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:49 p.m.