Triple

T1714008
Position Surface form Disambiguated ID Type / Status
Subject Groen E37248 entity
Predicate formerName P65 FINISHED
Object Agalev
Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
 E192754 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: Agalev | Statement: [Groen, formerName, Agalev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agalev
Context triple: [Groen, formerName, Agalev]
  • A. Castelli
    Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
  • B. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • C. St. Raphaël–Gitane
    St. Raphaël–Gitane was a prominent French professional cycling team of the late 1950s and early 1960s, known for fielding star riders such as Jacques Anquetil.
  • D. Schwalbe
    Schwalbe was the German nickname for the Messerschmitt Me 262, the pioneering World War II jet fighter aircraft.
  • E. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • 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: Agalev
Triple: [Groen, formerName, Agalev]
Generated description
Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agalev
Target entity description: Agalev was the original name of the Flemish green political party now known as Groen in Belgium.
  • A. Castelli
    Castelli is the original family surname of the renowned Baroque architect Francesco Borromini.
  • B. Giro
    Giro is the common shorthand name for the Giro d'Italia, one of professional cycling's three Grand Tours and Italy's premier multi-stage road race.
  • C. St. Raphaël–Gitane
    St. Raphaël–Gitane was a prominent French professional cycling team of the late 1950s and early 1960s, known for fielding star riders such as Jacques Anquetil.
  • D. Schwalbe
    Schwalbe was the German nickname for the Messerschmitt Me 262, the pioneering World War II jet fighter aircraft.
  • E. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633349248190822e560fde817fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae10a048190b7a39e4fb4fbe224 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957adf1c8190b7c8656c1984f998 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97af6b388190b2af293599108df3 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.