Triple

T36309171

Position	Surface form	Disambiguated ID	Type / Status
Subject	Совет министров иностранных дел ОДКБ	`E894020`	entity
Predicate	сокращённоеНазвание	`P178715`	FINISHED
Object	СМИД ОДКБ СМИД ОДКБ — это координационный орган Организации Договора о коллективной безопасности, объединяющий министров иностранных дел государств-членов для выработки согласованной внешнеполитической линии.	`E2179375`	NE FINISHED

How this triple was built (3 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: СМИД ОДКБ | Statement: [Совет министров иностранных дел ОДКБ, сокращённоеНазвание, СМИД ОДКБ]

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: СМИД ОДКБ
Triple: [Совет министров иностранных дел ОДКБ, сокращённоеНазвание, СМИД ОДКБ]

Generated description

СМИД ОДКБ — это координационный орган Организации Договора о коллективной безопасности, объединяющий министров иностранных дел государств-членов для выработки согласованной внешнеполитической линии.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: сокращённоеНазвание
Context triple: [Совет министров иностранных дел ОДКБ, сокращённоеНазвание, СМИД ОДКБ]

A. nameShort chosen
Indicates that an entity has a shortened or abbreviated version of its full name.
B. hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
C. shortDesignation
Indicates that one entity serves as a brief or abbreviated designation (such as a short name, code, or label) for another entity.
D. secondShortTitle
Indicates that an entity has a secondary or alternative short title associated with it.
E. الاختصار
Indicates that one entity is a shortened, abbreviated, or contracted form of another entity.
F. None of above.

Provenance (6 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_69f76e4c1b248190b10667d0213537fe`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7ba6d06f48190a71b5a2f19e2232f`	completed	May 3, 2026, 9:13 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a397d888340819098031ef17057ea19`	completed	June 22, 2026, 6:23 p.m.
NEDg	Description generation	`batch_6a3991a5e578819094db7fca1ea7437b`	completed	June 22, 2026, 7:48 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39927c2c488190b0d23beee3e77909`	completed	June 22, 2026, 7:52 p.m.
PD	Predicate disambiguation	`batch_69f7b9a4aad48190a62e41c5e39339d9`	completed	May 3, 2026, 9:09 p.m.

Created at: May 3, 2026, 4:09 p.m.