Triple

T14406513
Position Surface form Disambiguated ID Type / Status
Subject Bakhmut E357210 entity
Predicate administrativeCenterOf P383 FINISHED
Object Bakhmut Raion
Bakhmut Raion is an administrative district in Donetsk Oblast, eastern Ukraine, centered around the city of Bakhmut.
E1097580 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: Bakhmut Raion | Statement: [Bakhmut, administrativeCenterOf, Bakhmut Raion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakhmut Raion
Context triple: [Bakhmut, administrativeCenterOf, Bakhmut Raion]
  • A. Izium Raion
    Izium Raion is an administrative district in Kharkiv Oblast, eastern Ukraine, known for encompassing several towns and rural communities including Barvinkove.
  • B. Melitopol Raion
    Melitopol Raion is a district-level administrative division in Zaporizhzhia Oblast in southeastern Ukraine.
  • C. Mariupol Raion
    Mariupol Raion is an administrative district in Donetsk Oblast in southeastern Ukraine, centered around the city of Mariupol.
  • D. Kramatorsk Raion
    Kramatorsk Raion is an administrative district in Donetsk Oblast, eastern Ukraine, formed as part of the country’s territorial reform and centered around the city of Kramatorsk.
  • E. Dzhankoi Raion
    Dzhankoi Raion is an administrative district in the northern part of Crimea, centered around the town of Dzhankoi.
  • 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: Bakhmut Raion
Triple: [Bakhmut, administrativeCenterOf, Bakhmut Raion]
Generated description
Bakhmut Raion is an administrative district in Donetsk Oblast, eastern Ukraine, centered around the city of Bakhmut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bakhmut Raion
Target entity description: Bakhmut Raion is an administrative district in Donetsk Oblast, eastern Ukraine, centered around the city of Bakhmut.
  • A. Izium Raion
    Izium Raion is an administrative district in Kharkiv Oblast, eastern Ukraine, known for encompassing several towns and rural communities including Barvinkove.
  • B. Melitopol Raion
    Melitopol Raion is a district-level administrative division in Zaporizhzhia Oblast in southeastern Ukraine.
  • C. Mariupol Raion
    Mariupol Raion is an administrative district in Donetsk Oblast in southeastern Ukraine, centered around the city of Mariupol.
  • D. Kramatorsk Raion
    Kramatorsk Raion is an administrative district in Donetsk Oblast, eastern Ukraine, formed as part of the country’s territorial reform and centered around the city of Kramatorsk.
  • E. Dzhankoi Raion
    Dzhankoi Raion is an administrative district in the northern part of Crimea, centered around the town of Dzhankoi.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908804048190a4fe58afc2e0a5b6 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5523267081908d972b60b6039528 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.