Triple

T27024036
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Home Affairs of Myanmar E680738 entity
Predicate oversees P46 FINISHED
Object Prisons Department of Myanmar
The Prisons Department of Myanmar is the national government agency responsible for administering the country’s prison system and managing the custody and rehabilitation of inmates.
E1753996 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: Prisons Department of Myanmar | Statement: [Ministry of Home Affairs of Myanmar, oversees, Prisons Department of Myanmar]
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: Prisons Department of Myanmar
Triple: [Ministry of Home Affairs of Myanmar, oversees, Prisons Department of Myanmar]
Generated description
The Prisons Department of Myanmar is the national government agency responsible for administering the country’s prison system and managing the custody and rehabilitation of inmates.

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_69eeeb5450988190bfc9a3c012ac463a completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6223034bc8190a549f54b7c63b5f1 completed May 2, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123ab8b66c81908a9ba47e60348be0 completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123b542138819086f001a5c2dcd76b completed May 23, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a123bf84c28819096727646233344f5 completed May 23, 2026, 11:44 p.m.
Created at: April 27, 2026, 7:10 a.m.