Triple

T16745106
Position Surface form Disambiguated ID Type / Status
Subject Rik Van Looy E406931 entity
Predicate team P3756 FINISHED
Object Flandria
Flandria was a prominent Belgian professional cycling team known for its success in the 1960s and 1970s with several star riders.
 E1232765 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: Flandria | Statement: [Rik Van Looy, team, Flandria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flandria
Context triple: [Rik Van Looy, team, Flandria]
  • A. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • B. Flandrina
    Flandrina is the given name of Charlotte Flandrina of Nassau, a historical noblewoman from the House of Nassau.
  • C. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • D. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • E. Eastphalia
    Eastphalia is a historical-cultural region in northern Germany, traditionally associated with the eastern part of the medieval Duchy of Saxony and characterized by its distinct Eastphalian dialects and heritage.
  • 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: Flandria
Triple: [Rik Van Looy, team, Flandria]
Generated description
Flandria was a prominent Belgian professional cycling team known for its success in the 1960s and 1970s with several star riders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flandria
Target entity description: Flandria was a prominent Belgian professional cycling team known for its success in the 1960s and 1970s with several star riders.
  • A. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • B. Flandrina
    Flandrina is the given name of Charlotte Flandrina of Nassau, a historical noblewoman from the House of Nassau.
  • C. Foosland
    Foosland is a small village located in Champaign County, Illinois, United States.
  • D. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • E. Eastphalia
    Eastphalia is a historical-cultural region in northern Germany, traditionally associated with the eastern part of the medieval Duchy of Saxony and characterized by its distinct Eastphalian dialects and heritage.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa223aa88190a3c1805ece7317e2 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51e69c08190a5bff74823df430c completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a782502c819086c07dbcfc1b46eb completed May 10, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7e3725c81909afbf1abb4eb317b completed May 10, 2026, 3:44 p.m.
Created at: April 10, 2026, 5:21 a.m.