Triple

T36636410
Position Surface form Disambiguated ID Type / Status
Subject Minister for Finance of Nauru E904475 entity
Predicate hasAuthorityOver P544 FINISHED
Object national treasury of Nauru
The national treasury of Nauru is the government body responsible for managing the country’s public finances, including revenue collection, budgeting, and expenditure.
E2192815 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: national treasury of Nauru | Statement: [Minister for Finance of Nauru, hasAuthorityOver, national treasury of Nauru]
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: national treasury of Nauru
Triple: [Minister for Finance of Nauru, hasAuthorityOver, national treasury of Nauru]
Generated description
The national treasury of Nauru is the government body responsible for managing the country’s public finances, including revenue collection, budgeting, and expenditure.

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_69f76e6c63e48190b1d0c3a79a6c7406 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c4d82a2c81908f5c02da3eb90fad completed May 3, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a096fd3488190bd898e738212c489 completed June 23, 2026, 4:20 a.m.
NEDg Description generation batch_6a3a0c9c43188190bdc395335ad6933b completed June 23, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_6a3a0da3f288819095f80e9bf7279312 completed June 23, 2026, 4:37 a.m.
Created at: May 3, 2026, 4:11 p.m.