Triple

T6136190
Position Surface form Disambiguated ID Type / Status
Subject Commission X E136838 entity
Predicate overseesMinistry P40297 FINISHED
Object Ministry of Education, Culture, Research, and Technology of Indonesia E118186 NE FINISHED

How this triple was built (3 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: Ministry of Education, Culture, Research, and Technology of Indonesia | Statement: [Commission X, overseesMinistry, Ministry of Education, Culture, Research, and Technology of Indonesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ministry of Education, Culture, Research, and Technology of Indonesia
Context triple: [Commission X, overseesMinistry, Ministry of Education, Culture, Research, and Technology of Indonesia]
  • A. Ministry of Education, Culture, Research, and Technology of Indonesia chosen
    The Ministry of Education, Culture, Research, and Technology of Indonesia is a government body responsible for national policies and administration in education, cultural heritage, scientific research, and technological development across the country.
  • B. University of Indonesia
    The University of Indonesia is a leading public research university in Indonesia, renowned for its comprehensive academic programs and significant contributions to education and research in Southeast Asia.
  • C. Ministry of Manpower of Indonesia
    The Ministry of Manpower of Indonesia is the government body responsible for formulating and implementing national policies on employment, labor relations, and workforce protection in Indonesia.
  • D. National Research and Innovation Agency of Indonesia (BRIN)
    The National Research and Innovation Agency of Indonesia (BRIN) is the Indonesian government’s central body responsible for coordinating, conducting, and advancing national research and innovation across scientific and technological fields.
  • E. Universitas Pendidikan Indonesia
    Universitas Pendidikan Indonesia is a prominent Indonesian public university specializing in teacher education and educational sciences, headquartered in Bandung, West Java.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: overseesMinistry
Context triple: [Commission X, overseesMinistry, Ministry of Education, Culture, Research, and Technology of Indonesia]
  • A. ministry
    Indicates that an entity serves as a governmental ministry responsible for specific public functions or policy areas in relation to another entity.
  • B. viewOfMinistry
    Indicates a relationship where something presents or provides a visual perspective of a ministry or governmental department.
  • C. scopeOfMinistry
    Indicates the range of responsibilities, activities, or areas of authority covered by a particular ministry or ministerial role.
  • D. hasMediaMinistry
    Indicates that an entity operates, oversees, or is associated with a ministry or department responsible for media-related affairs.
  • E. hasMinistries chosen
    Indicates that an entity possesses, oversees, or is organized into one or more ministries as subordinate units or departments.
  • F. None of above.

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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c8211d48190bc10675ba6707150 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135e22b9481908e6023d1b0a5d0fd completed March 23, 2026, 12:45 p.m.
PD Predicate disambiguation batch_69c055f19b0c81908be34a00ab218723 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:15 p.m.