Triple

T15934
Position Surface form Disambiguated ID Type / Status
Subject Albert Einstein E318 entity
Predicate residence P75 FINISHED
Object Bern
Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
 E18380 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: Bern | Statement: [Albert Einstein, residence, Bern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bern
Context triple: [Albert Einstein, residence, Bern]
  • A. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • B. Quincy
    Quincy is a coastal city in eastern Massachusetts known as the "City of Presidents" for being the birthplace of U.S. presidents John Adams and John Quincy Adams.
  • C. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Albany
    Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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: Bern
Triple: [Albert Einstein, residence, Bern]
Generated description
Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bern
Target entity description: Bern is the capital city of Switzerland, known for its well-preserved medieval old town and role as a political and cultural center.
  • A. Burlington
    Burlington is a suburban town in Massachusetts known for its proximity to Boston and its mix of residential neighborhoods, office parks, and retail centers.
  • B. Quincy
    Quincy is a coastal city in eastern Massachusetts known as the "City of Presidents" for being the birthplace of U.S. presidents John Adams and John Quincy Adams.
  • C. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Albany
    Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a2400257208190b3cd87ad2a06c18f completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93548988190a7514e0cc2df0de4 completed Feb. 28, 2026, 10:53 a.m.
NEDg Description generation batch_69a2c9b112288190b081ef6ca567e594 completed Feb. 28, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69a2ca31ebd4819082c59d25a46f872d completed Feb. 28, 2026, 10:57 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.