Triple

T29442523
Position Surface form Disambiguated ID Type / Status
Subject Brunei government forces E746753 entity
Predicate governedBy P46 FINISHED
Object Ministry of Defence of Brunei
The Ministry of Defence of Brunei is the government body responsible for formulating defence policy and overseeing the Royal Brunei Armed Forces and the nation’s overall military security.
E1867512 NE 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: Ministry of Defence of Brunei | Statement: [Brunei government forces, governedBy, Ministry of Defence of Brunei]
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: Ministry of Defence of Brunei
Triple: [Brunei government forces, governedBy, Ministry of Defence of Brunei]
Generated description
The Ministry of Defence of Brunei is the government body responsible for formulating defence policy and overseeing the Royal Brunei Armed Forces and the nation’s overall military security.

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_69f0a7a180e48190ae775e40047dbcb5 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66b1ddb508190bf0a10ffa61bbf5b completed May 2, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d939753481908ddf552e0838cd40 completed June 7, 2026, 8:48 p.m.
NEDg Description generation batch_6a25dd504b8881908cfcc47c644035ba completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e22054d081908784600599c12ed5 completed June 7, 2026, 9:26 p.m.
Created at: April 28, 2026, 3:24 p.m.