Triple

T37960244
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Health of Ghana E946990 entity
Predicate headOfGovernmentBody P452 FINISHED
Object Minister for Health of Ghana
The Minister for Health of Ghana is the government official responsible for overseeing the country’s health policy, public health services, and the administration of the national healthcare system.
E946990 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: Minister for Health of Ghana | Statement: [Ministry of Health of Ghana, headOfGovernmentBody, Minister for Health of Ghana]
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: Minister for Health of Ghana
Triple: [Ministry of Health of Ghana, headOfGovernmentBody, Minister for Health of Ghana]
Generated description
The Minister for Health of Ghana is the government official responsible for overseeing the country’s health policy, public health services, and the administration of the national healthcare system.

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_69f76ef7062c819091bfacb7e83aa1e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdd74e448190b25a3bbd477c4d56 completed May 6, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a411805eab48190a390ec72b0602310 completed June 28, 2026, 12:48 p.m.
NEDg Description generation batch_6a41188b51bc81908310c4cc2d9a4435 completed June 28, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a411a6f35b081909704ab740bdf92af completed June 28, 2026, 12:58 p.m.
Created at: May 3, 2026, 4:20 p.m.