Triple

T9935802
Position Surface form Disambiguated ID Type / Status
Subject Les Engagés E192756 entity
Predicate shortName P43 FINISHED
Object LE
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
 E831289 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: LE | Statement: [Les Engagés, shortName, LE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LE
Context triple: [Les Engagés, shortName, LE]
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. lev
    The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
  • C. LO
    LO is the vehicle registration code used on license plates for vehicles registered in the Province of Lodi in Italy.
  • D. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • E. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • 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: LE
Triple: [Les Engagés, shortName, LE]
Generated description
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LE
Target entity description: LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
  • A. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • B. lev
    The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
  • C. LO
    LO is the vehicle registration code used on license plates for vehicles registered in the Province of Lodi in Italy.
  • D. LO
    LO was the New York Stock Exchange ticker symbol for Lorillard Tobacco Company, a major American tobacco manufacturer best known for brands like Newport.
  • E. LO
    LO is Norway’s largest and most influential trade union confederation, representing a broad spectrum of workers across multiple sectors.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e3bfa88190a88f20f2687a2583 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228e7247c81908dbba76199f2e93f completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a2831348190909b9507edfe49f3 completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22af8914c8190a8116a37a42b633c completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.