Triple

T288027
Position Surface form Disambiguated ID Type / Status
Subject Formation of the De Croo government (Vivaldi coalition) E5927 entity
Predicate coalitionIncludes P6048 FINISHED
Object MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
 E37244 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: MR | Statement: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, MR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MR
Context triple: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, MR]
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • E. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • 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: MR
Triple: [Formation of the De Croo government (Vivaldi coalition), coalitionIncludes, MR]
Generated description
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MR
Target entity description: MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • E. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a260d21e5881909f3baba8b8dfff92 completed Feb. 28, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d08ef048190b0b382f8a0bc6c87 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39d8923608190b7bdda99a3534c1c completed March 1, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69a39dec8b5c8190a42520806bcad8e5 completed March 1, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.