Triple

T5631461
Position Surface form Disambiguated ID Type / Status
Subject Traktor Chelyabinsk E147841 entity
Predicate formerName P65 FINISHED
Object Dzerzhinets Chelyabinsk
Dzerzhinets Chelyabinsk was the former name of the Russian professional ice hockey club now known as Traktor Chelyabinsk.
 E534956 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: Dzerzhinets Chelyabinsk | Statement: [Traktor Chelyabinsk, formerName, Dzerzhinets Chelyabinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dzerzhinets Chelyabinsk
Context triple: [Traktor Chelyabinsk, formerName, Dzerzhinets Chelyabinsk]
  • A. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • D. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • E. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • 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: Dzerzhinets Chelyabinsk
Triple: [Traktor Chelyabinsk, formerName, Dzerzhinets Chelyabinsk]
Generated description
Dzerzhinets Chelyabinsk was the former name of the Russian professional ice hockey club now known as Traktor Chelyabinsk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dzerzhinets Chelyabinsk
Target entity description: Dzerzhinets Chelyabinsk was the former name of the Russian professional ice hockey club now known as Traktor Chelyabinsk.
  • A. Kirzhach
    Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • D. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • E. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225cdcdc819095034f12c39ef755 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d69128881909870e8901f967e80 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04e89b7c481908abae227d22cc814 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f41b158819097f9ef536215e248 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:40 p.m.