Triple

T4970157
Position Surface form Disambiguated ID Type / Status
Subject Kaluga Oblast E111628 entity
Predicate containsCity P294 FINISHED
Object Lyudinovo
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
 E509209 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: Lyudinovo | Statement: [Kaluga Oblast, containsCity, Lyudinovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyudinovo
Context triple: [Kaluga Oblast, containsCity, Lyudinovo]
  • A. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • B. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • C. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • D. Kirovo
    Kirovo was the Soviet-era name for the Ukrainian city now known as Kropyvnytskyi, reflecting its renaming in honor of Bolshevik leader Sergei Kirov.
  • E. Sertolovo
    Sertolovo is a town in northwestern Russia that serves primarily as a residential and military community near Saint Petersburg.
  • 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: Lyudinovo
Triple: [Kaluga Oblast, containsCity, Lyudinovo]
Generated description
Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyudinovo
Target entity description: Lyudinovo is an industrial town in western Russia known for its engineering and manufacturing sectors.
  • A. Kudrovo
    Kudrovo is a rapidly growing suburban town on the eastern outskirts of Saint Petersburg, Russia, known for its dense residential developments and proximity to the city.
  • B. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • C. Borovichi
    Borovichi is a town in western Russia known as an industrial and transport center situated on the Msta River.
  • D. Kirovo
    Kirovo was the Soviet-era name for the Ukrainian city now known as Kropyvnytskyi, reflecting its renaming in honor of Bolshevik leader Sergei Kirov.
  • E. Sertolovo
    Sertolovo is a town in northwestern Russia that serves primarily as a residential and military community near Saint Petersburg.
  • 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_69bf06982c5081908c275019c5d6b1c1 completed March 21, 2026, 8:59 p.m.
NEDg Description generation batch_69bf09b664948190bebee9c43975e359 completed March 21, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_69bf0a074da88190b52d2519d66b9f5d completed March 21, 2026, 9:13 p.m.
Created at: March 20, 2026, 1:33 p.m.