Triple

T36448601
Position Surface form Disambiguated ID Type / Status
Subject Work and Income E897945 entity
Predicate operatedBy P86 FINISHED
Object Ministry of Social Development
The Ministry of Social Development is a New Zealand government department responsible for delivering social services and welfare support, including income assistance and employment services.
E2183082 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 Social Development | Statement: [Work and Income, operatedBy, Ministry of Social Development]
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 Social Development
Triple: [Work and Income, operatedBy, Ministry of Social Development]
Generated description
The Ministry of Social Development is a New Zealand government department responsible for delivering social services and welfare support, including income assistance and employment services.

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_69f76e5720b481908f8177ac24a7560b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd8e3dac8190b55068ed07a077e5 completed May 3, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c422b97c81908377120a025a66e8 completed June 22, 2026, 11:24 p.m.
NEDg Description generation batch_6a39c49dc36c8190b6791483ee8a7e31 completed June 22, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a39c52475348190a171242f4714705d completed June 22, 2026, 11:28 p.m.
Created at: May 3, 2026, 4:10 p.m.