Triple

T4637122
Position Surface form Disambiguated ID Type / Status
Subject Irkutsk Oblast E101558 entity
Predicate hasCity P316 FINISHED
Object Cheremkhovo
Cheremkhovo is a mining and industrial city in southeastern Siberia, Russia, known historically for its coal production.
E490828 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: Cheremkhovo | Statement: [Irkutsk Oblast, hasCity, Cheremkhovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheremkhovo
Context triple: [Irkutsk Oblast, hasCity, Cheremkhovo]
  • A. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • B. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • C. Duleevka
    Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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: Cheremkhovo
Triple: [Irkutsk Oblast, hasCity, Cheremkhovo]
Generated description
Cheremkhovo is a mining and industrial city in southeastern Siberia, Russia, known historically for its coal production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cheremkhovo
Target entity description: Cheremkhovo is a mining and industrial city in southeastern Siberia, Russia, known historically for its coal production.
  • A. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • B. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • C. Duleevka
    Duleevka is a small settlement in Russia known primarily as the birthplace of Soviet statesman Nikolai Ryzhkov.
  • D. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • E. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea45f6f2481909ee7b88524fbd59e completed March 21, 2026, 1:59 p.m.
NEDg Description generation batch_69bea575fa448190b64b6d6305a8d5a6 completed March 21, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69bea60244c88190850ac256e290c190 completed March 21, 2026, 2:06 p.m.
Created at: March 20, 2026, 1:13 p.m.