Triple

T26216787
Position Surface form Disambiguated ID Type / Status
Subject Georgian Soviet Socialist Republic E655651 entity
Predicate subdivisionOfUSSRType P84486 FINISHED
Object union republic LITERAL 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: union republic | Statement: [Georgian Soviet Socialist Republic, subdivisionOfUSSRType, union republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionOfUSSRType
Context triple: [Georgian Soviet Socialist Republic, subdivisionOfUSSRType, union republic]
  • A. partOfFormerSovietRepublic chosen
    Indicates that one entity was a territorial or administrative component of a country that was formerly a republic of the Soviet Union.
  • B. formerSovietRepublic
    Indicates that an entity is a country or region that was once part of the Soviet Union but is now independent.
  • C. partOfUnderRussianAdministration
    Indicates that one entity is a territorial or administrative subdivision that is currently governed or controlled by Russian authorities.
  • D. homeCountryDuringSovietEra
    Indicates the country that was considered an entity’s home country during the period of the Soviet Union’s existence.
  • E. areaShareOfUSSR
    Indicates the proportion of a given area that belonged to, or was part of, the USSR relative to some larger reference area.
  • F. None of above.

Provenance (3 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_69ee5b4a77e08190bfcb5f8ecdc55abd completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f6352fdb788190b9bad30243690743 completed May 2, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
Created at: April 26, 2026, 8:54 p.m.