Triple

T1239405
Position Surface form Disambiguated ID Type / Status
Subject Lausanne E26623 entity
Predicate hasDistrict P459 FINISHED
Object Flon
Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
 E142685 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: Flon | Statement: [Lausanne, hasDistrict, Flon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flon
Context triple: [Lausanne, hasDistrict, Flon]
  • A. Baufra
    Baufra was an ancient Egyptian prince of the 4th Dynasty, known primarily as a son of the pharaoh Khufu.
  • B. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • 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: Flon
Triple: [Lausanne, hasDistrict, Flon]
Generated description
Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flon
Target entity description: Flon is a central urban district in Lausanne, Switzerland, known for its transformed industrial warehouses, nightlife, shopping, and cultural venues.
  • A. Baufra
    Baufra was an ancient Egyptian prince of the 4th Dynasty, known primarily as a son of the pharaoh Khufu.
  • B. Fidra
    Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
  • C. Aldan
    Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
  • D. Ranna
    Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • E. Leven
    Leven is a coastal town in eastern Scotland, situated on the Firth of Forth in the council area of Fife.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf41c5d08190b07adbdb24d35a76 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7755fc819089e23eca81583885 completed March 7, 2026, 8:49 p.m.
NEDg Description generation batch_69ac903eb12c8190a4024a71f15b19a4 completed March 7, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69ac916522b081908401b89261f99d50 completed March 7, 2026, 8:58 p.m.
Created at: March 1, 2026, 7:47 p.m.