Triple

T12548429
Position Surface form Disambiguated ID Type / Status
Subject Chita E300031 entity
Predicate formerFederalSubjectCenterOf P86708 FINISHED
Object Chita Oblast E66836 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: Chita Oblast | Statement: [Chita, formerFederalSubjectCenterOf, Chita Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chita Oblast
Context triple: [Chita, formerFederalSubjectCenterOf, Chita Oblast]
  • A. Amur Oblast
    Amur Oblast is a federal subject of Russia located in the southeastern part of Siberia along the Amur River, bordering China and known for its resource-based economy and strategic position in the Russian Far East.
  • B. Irkutsk Oblast
    Irkutsk Oblast is a large federal subject of Russia in southeastern Siberia, known for its vast taiga landscapes, significant rivers, and proximity to Lake Baikal.
  • C. Zabaykalsky Krai chosen
    Zabaykalsky Krai is a federal subject of Russia located in southeastern Siberia, bordering Mongolia and China and known for its vast, sparsely populated territory and rich mineral resources.
  • D. Khabarovsk Krai
    Khabarovsk Krai is a large federal subject in Russia’s Far East, known for its vast wilderness, diverse landscapes, and significant natural resources.
  • E. Magadan Oblast
    Magadan Oblast is a sparsely populated federal subject in Russia’s Far East, known for its harsh climate, remote location on the Sea of Okhotsk, and history as a major center of Soviet-era Gulag labor camps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerFederalSubjectCenterOf
Context triple: [Chita, formerFederalSubjectCenterOf, Chita Oblast]
  • A. isFederalDistrictUntil
    Indicates that an entity functioned as a federal district up to a specified end date or time.
  • B. containsFederalSubject
    Indicates that one administrative or territorial entity includes a specific federal subject within its jurisdiction or boundaries.
  • C. federalSubject
    Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
  • D. isNationalAdministrativeCenter
    Indicates that a location serves as the primary administrative or governmental center for a nation.
  • E. isAdministrativeCenterIn chosen
    Indicates that an entity serves as the main administrative or governmental center located within a specified larger area or jurisdiction.
  • F. None of above.

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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b847de481908163d59cc939e132 completed May 3, 2026, 12:49 a.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:58 p.m.