Triple

T287966
Position Surface form Disambiguated ID Type / Status
Subject Federal Government of Belgium E5926 entity
Predicate numberOfMinistersLimit P9266 FINISHED
Object 15 LITERAL FINISHED

How this triple was built (2 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: 15 | Statement: [Federal Government of Belgium, numberOfMinistersLimit, 15]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfMinistersLimit
Context triple: [Federal Government of Belgium, numberOfMinistersLimit, 15]
  • A. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • B. totalNumberOfLegislators
    Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
  • C. hasNumberOfCouncillors
    Indicates the relationship that specifies how many councillors are associated with a given entity.
  • D. officeHoldersNumber
    Indicates the number of individuals who hold a particular office or position.
  • E. hasMinisterTitle
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • F. None of above. chosen

Provenance (4 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_69a25e2f5c0081908e548b314f5e986d completed Feb. 28, 2026, 3:17 a.m.
PD Predicate disambiguation batch_69a25b7c1448819082064f474633acd5 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25d3463648190ac716d7475378536 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.