Triple

T9148573
Position Surface form Disambiguated ID Type / Status
Subject Zhytomyr Oblast E219523 entity
Predicate containsCity P294 FINISHED
Object Korosten
Korosten is a historic city in northern Ukraine known as a regional railway hub and former center of the ancient Drevlians.
E781171 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: Korosten | Statement: [Zhytomyr Oblast, containsCity, Korosten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korosten
Context triple: [Zhytomyr Oblast, containsCity, Korosten]
  • A. Kosuta
    Košuta is a prominent mountain ridge in the Karawanks range on the border between Slovenia and Austria, known for its long, scenic crest and popular hiking routes.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kostava
    Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
  • D. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • E. Kopsenni
    Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
  • 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: Korosten
Triple: [Zhytomyr Oblast, containsCity, Korosten]
Generated description
Korosten is a historic city in northern Ukraine known as a regional railway hub and former center of the ancient Drevlians.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Korosten
Target entity description: Korosten is a historic city in northern Ukraine known as a regional railway hub and former center of the ancient Drevlians.
  • A. Kosuta
    Košuta is a prominent mountain ridge in the Karawanks range on the border between Slovenia and Austria, known for its long, scenic crest and popular hiking routes.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kostava
    Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
  • D. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • E. Kopsenni
    Kopsenni is the highest peak on the Faroe Islands' main island of Streymoy, known for its rugged terrain and scenic North Atlantic views.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04833858081909b616325f0e6f787 completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 7:20 p.m.