Triple

T28088737
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Health of Argentina E709896 entity
Predicate headOfGovernmentBody P452 FINISHED
Object Minister of Health of Argentina
The Minister of Health of Argentina is the national government official responsible for directing the country’s public health policy, healthcare system, and sanitary regulations.
E1801311 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 of Health of Argentina | Statement: [Ministry of Health of Argentina, headOfGovernmentBody, Minister of Health of Argentina]
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 of Health of Argentina
Triple: [Ministry of Health of Argentina, headOfGovernmentBody, Minister of Health of Argentina]
Generated description
The Minister of Health of Argentina is the national government official responsible for directing the country’s public health policy, healthcare system, and sanitary regulations.

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_69ef9b7037f0819095bb90eaccbcaf32 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640690a088190bbc5d57384089b08 completed May 2, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c91cfdf88190883331d8a14e58cf completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15c994a74c8190aa39a3a00d374f71 completed May 26, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a15ca0b3b148190b6d294ff8904aaa5 completed May 26, 2026, 4:27 p.m.
Created at: April 27, 2026, 8:57 p.m.