Triple

T850832
Position Surface form Disambiguated ID Type / Status
Subject Bern E18380 entity
Predicate demonym P191 FINISHED
Object Berner
A Berner is a resident or native of the Swiss city of Bern.
E117823 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: Berner | Statement: [Bern, demonym, Berner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berner
Context triple: [Bern, demonym, Berner]
  • A. Bernex
    Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
  • B. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • C. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • D. Hermance
    Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
  • E. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • 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: Berner
Triple: [Bern, demonym, Berner]
Generated description
A Berner is a resident or native of the Swiss city of Bern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berner
Target entity description: A Berner is a resident or native of the Swiss city of Bern.
  • A. Bernex
    Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
  • B. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • C. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • D. Hermance
    Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
  • E. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac215194819099e6bc1b5df58fb3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac257c87b081909f153c8f275c3d45 completed March 7, 2026, 1:17 p.m.
NEDg Description generation batch_69ac26001c588190b1870b84e6998f41 completed March 7, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_69ac265f016881908f106502054837fc completed March 7, 2026, 1:21 p.m.
Created at: March 1, 2026, 7:38 p.m.