Triple

T32979250
Position Surface form Disambiguated ID Type / Status
Subject Komuch E843751 entity
Predicate nativeName P15 FINISHED
Object Комитет членов Учредительного собрания
Комитет членов Учредительного собрания был антибольшевистским политическим органом, созданным в 1918 году в Самаре депутатами разогнанного Всероссийского Учредительного собрания и претендовавшим на роль всероссийской власти в период Гражданской войны.
E2031134 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: Комитет членов Учредительного собрания | Statement: [Komuch, nativeName, Комитет членов Учредительного собрания]
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: Комитет членов Учредительного собрания
Triple: [Komuch, nativeName, Комитет членов Учредительного собрания]
Generated description
Комитет членов Учредительного собрания был антибольшевистским политическим органом, созданным в 1918 году в Самаре депутатами разогнанного Всероссийского Учредительного собрания и претендовавшим на роль всероссийской власти в период Гражданской войны.

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_69f3494c6f9c8190a255409fce8b1d3b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1dad6788190bdf668f6f831c57c completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d287a89881908e4ac6a82e6b1dd7 completed June 19, 2026, 5:24 a.m.
NEDg Description generation batch_6a34d41717c0819092c139f8f9f91b90 completed June 19, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a34d47fb1e481908499ef7f96592128 completed June 19, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:22 a.m.