Triple

T437930
Position Surface form Disambiguated ID Type / Status
Subject Soviet Southwestern Front E10050 entity
Predicate locationFormed P13661 FINISHED
Object Kiev 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: Kiev | Statement: [Soviet Southwestern Front, locationFormed, Kiev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiev
Context triple: [Soviet Southwestern Front, locationFormed, Kiev]
  • 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. Kryvyi Rih
    Kryvyi Rih is a major industrial city in central Ukraine known for its extensive iron ore 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: locationFormed
Context triple: [Soviet Southwestern Front, locationFormed, Kiev]
  • A. coordinateLocation
    Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
  • B. locationDescription
    Indicates a textual description that specifies or characterizes the location of an entity.
  • C. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • D. locationPattern
    Indicates a recurring or structured spatial relationship, where an entity consistently appears or is arranged in a particular type of location or spatial configuration.
  • E. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • F. None of above. chosen

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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef26bb78819089b3b5dac0330619 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44cb7001881908b91a1a1ab32ce41 completed March 1, 2026, 2:27 p.m.
PD Predicate disambiguation batch_69a2eddb98e081909efcf9f0a955a908 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2ee8b56d08190bd625626353d01b4 completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.