Triple

T3927741
Position Surface form Disambiguated ID Type / Status
Subject Bern metropolitan area E93317 entity
Predicate contains P35 FINISHED
Object Lyss
Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
 E399789 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: Lyss | Statement: [Bern metropolitan area, contains, Lyss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyss
Context triple: [Bern metropolitan area, contains, Lyss]
  • A. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Llaillay
    Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
  • D. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • E. Lyssons
    Lyssons is a coastal community located in the parish of St. Thomas in eastern Jamaica.
  • 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: Lyss
Triple: [Bern metropolitan area, contains, Lyss]
Generated description
Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyss
Target entity description: Lyss is a Swiss municipality in the canton of Bern, known as a regional transport hub and residential town within the greater Bern area.
  • A. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Llaillay
    Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
  • D. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • E. Lyssons
    Lyssons is a coastal community located in the parish of St. Thomas in eastern Jamaica.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5287b8d548190a929f14637cb9963 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b529ad13d48190995ed79d3c41a69b completed March 14, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69b52a5274ec8190b481a2627e94addb completed March 14, 2026, 9:28 a.m.
Created at: March 9, 2026, 3:23 p.m.