Triple

T10083153
Position Surface form Disambiguated ID Type / Status
Subject Cherkasy Oblast E213950 entity
Predicate hasCityStatus P3422 FINISHED
Object Vatutine
Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
E841420 NE FINISHED

How this triple was built (4 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: Vatutine | Statement: [Cherkasy Oblast, hasCityStatus, Vatutine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vatutine
Context triple: [Cherkasy Oblast, hasCityStatus, Vatutine]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • C. Vakuta
    Vakuta is a small inhabited island in Papua New Guinea that forms part of the culturally renowned Trobriand Islands archipelago.
  • D. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • E. Vatutin
    Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vatutine
Triple: [Cherkasy Oblast, hasCityStatus, Vatutine]
Generated description
Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vatutine
Target entity description: Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • C. Vakuta
    Vakuta is a small inhabited island in Papua New Guinea that forms part of the culturally renowned Trobriand Islands archipelago.
  • D. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • E. Vatutin
    Vatutin is a Russian surname most notably associated with Soviet World War II general Nikolai Vatutin.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2ba645ec08190b33388a40ca7582e completed April 5, 2026, 7:39 p.m.
NED2 Entity disambiguation (via description) batch_69d2babd01908190b5c9f9c3541361ee completed April 5, 2026, 7:40 p.m.
Created at: March 30, 2026, 9 p.m.