Triple

T14486304
Position Surface form Disambiguated ID Type / Status
Subject AZT E359235 entity
Predicate usedInTranscaucasia P114415 FINISHED
Object yes 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: yes | Statement: [AZT, usedInTranscaucasia, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInTranscaucasia
Context triple: [AZT, usedInTranscaucasia, yes]
  • A. includesCaucasusStates
    Indicates that a set, group, or region contains one or more of the states located in the Caucasus region.
  • B. includesCentralAsianStates
    Indicates that the referenced set, group, or entity composition contains one or more Central Asian states as members or components.
  • C. partOfFormerSovietRepublic
    Indicates that one entity was a territorial or administrative component of a country that was formerly a republic of the Soviet Union.
  • D. usedInFormerEasternBlocCountry
    Indicates that something was used within a country that was part of the former Eastern Bloc.
  • E. endDateAsPartOfTranscaucasianSFSR
    Indicates the date on which something (such as a status, membership, or existence) ended while it was part of the Transcaucasian Soviet Federative Socialist Republic.
  • F. None of above. chosen

Provenance (4 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:20 a.m.