Triple

T3480091
Position Surface form Disambiguated ID Type / Status
Subject Votic language E73467 entity
Predicate traditionalVillageArea P14192 FINISHED
Object Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
 E396820 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: Luzhitsy | Statement: [Votic language, traditionalVillageArea, Luzhitsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luzhitsy
Context triple: [Votic language, traditionalVillageArea, Luzhitsy]
  • A. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • D. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • E. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • 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: Luzhitsy
Triple: [Votic language, traditionalVillageArea, Luzhitsy]
Generated description
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luzhitsy
Target entity description: Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • A. Mozhaisk
    Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
  • B. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • C. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • D. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • E. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb7461708190898002fbd1191f34 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c620ee881908cd766212ee037cb completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b51cd116d08190beeb1cd8e9d05468 completed March 14, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_69b51d865f20819095418bd080ce2bb4 completed March 14, 2026, 8:34 a.m.
Created at: March 8, 2026, 3:17 p.m.