Triple

T903375
Position Surface form Disambiguated ID Type / Status
Subject Shmyhal Government E19494 entity
Predicate placeFormed P1677 FINISHED
Object Kyiv E17733 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: Kyiv | Statement: [Shmyhal Government, placeFormed, Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv
Context triple: [Shmyhal Government, placeFormed, Kyiv]
  • A. Kyiv chosen
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • B. Kharkiv
    Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
  • C. Dnipro
    Dnipro is one of Ukraine’s largest industrial and cultural centers, located on the Dnieper River in the central-eastern part of the country.
  • D. Odesa
    Odesa is a major port city on the Black Sea in southern Ukraine, known for its historic architecture, multicultural heritage, and key economic and cultural role in the country.
  • E. Donetsk
    Donetsk is a major industrial city in eastern Ukraine, historically known for its coal mining and steel production.
  • 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: placeFormed
Context triple: [Shmyhal Government, placeFormed, Kyiv]
  • A. locationFormed
    Indicates the place or geographic area where an entity (such as an organization, group, or structure) was originally established or came into existence.
  • B. placeBuilt
    Indicates that a structure or facility was constructed at a specific location.
  • C. placeType
    Indicates the type or category of place associated with an entity (e.g., city, park, building).
  • D. divisionFormedFrom
    Indicates that an organizational division was created by splitting off from or being reorganized out of another existing entity.
  • E. foundationPlace chosen
    Indicates the place where an organization, institution, or similar entity was originally founded or established.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad58334881908df191140b786780 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4282ea908190817857231b98f5b4 completed March 7, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69a4aa98caec8190bbcc38320090f058 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.