Triple

T4970162
Position Surface form Disambiguated ID Type / Status
Subject Kaluga Oblast E111628 entity
Predicate containsCity P294 FINISHED
Object Kozelsk
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
 E498927 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: Kozelsk | Statement: [Kaluga Oblast, containsCity, Kozelsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kozelsk
Context triple: [Kaluga Oblast, containsCity, Kozelsk]
  • A. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • B. Belozersk
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • C. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Rzhev
    Rzhev is a historic town in western Russia known for its strategic location on the Volga River and as the site of major World War II battles.
  • 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: Kozelsk
Triple: [Kaluga Oblast, containsCity, Kozelsk]
Generated description
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kozelsk
Target entity description: Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
  • A. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • B. Belozersk
    Belozersk is a historic town in northwestern Russia known for its medieval heritage and location near Lake Beloye.
  • C. Vyazma
    Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Rzhev
    Rzhev is a historic town in western Russia known for its strategic location on the Volga River and as the site of major World War II battles.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd721221b88190916feb9b4f049195 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed90711188190942aefd5da31496d completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed9b48cb081909a9e8d6fd8d1a3cb completed March 21, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69beda0518f481908bd61de5dff87cec completed March 21, 2026, 5:48 p.m.
Created at: March 20, 2026, 1:33 p.m.