Triple

T29793418
Position Surface form Disambiguated ID Type / Status
Subject Sremska Mitrovica prison E756474 entity
Predicate operatedBy P86 FINISHED
Object Ministry of Justice of Serbia
The Ministry of Justice of Serbia is the national government body responsible for overseeing the country’s judicial system, including courts, prisons, and legal policy.
E1883770 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 Justice of Serbia | Statement: [Sremska Mitrovica prison, operatedBy, Ministry of Justice of Serbia]
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 Justice of Serbia
Triple: [Sremska Mitrovica prison, operatedBy, Ministry of Justice of Serbia]
Generated description
The Ministry of Justice of Serbia is the national government body responsible for overseeing the country’s judicial system, including courts, prisons, and legal policy.

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_69f22454583081908927516cb9938d1d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674e4bb8c8190baf5c9fbfe45e4e1 completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c90a7bac8190a9c0317842364d01 completed June 8, 2026, 1:52 p.m.
NEDg Description generation batch_6a26d44f8184819089648aaf5fea3616 completed June 8, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_6a26d50e86a08190a4d70c2b0168a145 completed June 8, 2026, 2:43 p.m.
Created at: April 29, 2026, 5:13 p.m.