Triple

T38532783
Position Surface form Disambiguated ID Type / Status
Subject Russian Federation military ranks E923410 entity
Predicate hasEnlistedRank P109150 FINISHED
Object Senior Sergeant
Senior Sergeant is a high non-commissioned officer rank in the Russian military, typically responsible for leading and managing enlisted personnel at the squad or platoon level.
E2277486 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: Senior Sergeant | Statement: [Russian Federation military ranks, hasEnlistedRank, Senior Sergeant]
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: Senior Sergeant
Triple: [Russian Federation military ranks, hasEnlistedRank, Senior Sergeant]
Generated description
Senior Sergeant is a high non-commissioned officer rank in the Russian military, typically responsible for leading and managing enlisted personnel at the squad or platoon level.

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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd2b9b1a081908844f03c6645c1e5 completed May 7, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f430eb248190befef915b01ea498 completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4a6a95881909f53ad85d7464022 completed June 29, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a41f502b9488190a2ff1991390978b6 completed June 29, 2026, 4:30 a.m.
Created at: May 3, 2026, 4:32 p.m.