Triple

T34394167
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Finance (Singapore) E882784 entity
Predicate nativeName P15 FINISHED
Object Ministry of Finance
The Ministry of Finance (Singapore) is a government ministry responsible for managing the country’s public finances, economic and fiscal policies, and national budget.
E2095971 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 Finance | Statement: [Ministry of Finance (Singapore), nativeName, Ministry of Finance]
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 Finance
Triple: [Ministry of Finance (Singapore), nativeName, Ministry of Finance]
Generated description
The Ministry of Finance (Singapore) is a government ministry responsible for managing the country’s public finances, economic and fiscal policies, and national budget.

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_69f349c1304081909331872829e38106 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f718944698819090fc23cb86ace435 completed May 3, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370dc223d481909c8e2c18ea2af3ca completed June 20, 2026, 10:01 p.m.
NEDg Description generation batch_6a370e7dcd88819091a402e550189e46 completed June 20, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_6a370f2dba508190af182d53a385b955 completed June 20, 2026, 10:07 p.m.
Created at: May 1, 2026, 1:59 a.m.