Triple

T5747343
Position Surface form Disambiguated ID Type / Status
Subject Poltava Governorate E126766 entity
Predicate contains P35 FINISHED
Object Lokhvytsia
Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
 E555596 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: Lokhvytsia | Statement: [Poltava Governorate, contains, Lokhvytsia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lokhvytsia
Context triple: [Poltava Governorate, contains, Lokhvytsia]
  • A. Velykyi Zhytyn
    Velykyi Zhytyn is a village in western Ukraine notable as the birthplace of the country’s first president, Leonid Kravchuk.
  • B. Pryluky
    Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
  • C. Berezhany
    Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
  • D. Lubny
    Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
  • E. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • 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: Lokhvytsia
Triple: [Poltava Governorate, contains, Lokhvytsia]
Generated description
Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lokhvytsia
Target entity description: Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
  • A. Velykyi Zhytyn
    Velykyi Zhytyn is a village in western Ukraine notable as the birthplace of the country’s first president, Leonid Kravchuk.
  • B. Pryluky
    Pryluky is a historic city in northern Ukraine known for its Cossack heritage and role as a regional cultural and economic center.
  • C. Berezhany
    Berezhany is a historic town in western Ukraine’s Ternopil Oblast, known for its well-preserved Renaissance castle and multicultural heritage.
  • D. Lubny
    Lubny is a historic city in central Ukraine known for its role in regional trade and culture since medieval times.
  • E. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02885b0288190835809681a364b1f completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf9968d881908ef4065d1d13b2b8 completed March 23, 2026, 4:20 a.m.
NEDg Description generation batch_69c0c0ca548c81908382dbba5f440847 completed March 23, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0c19e5ef08190abe26030e24b4d91 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 3:48 p.m.