Triple

T4572624
Position Surface form Disambiguated ID Type / Status
Subject Sergiyev Posad E123068 entity
Predicate historicalName P65 FINISHED
Object Sergiyev
Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
 E482818 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: Sergiyev | Statement: [Sergiyev Posad, historicalName, Sergiyev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sergiyev
Context triple: [Sergiyev Posad, historicalName, Sergiyev]
  • A. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • B. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • C. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • D. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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: Sergiyev
Triple: [Sergiyev Posad, historicalName, Sergiyev]
Generated description
Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sergiyev
Target entity description: Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • A. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • B. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • C. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • D. Yuryev
    Yuryev is a historical name for the Estonian city now known as Tartu, reflecting its past under various regional powers.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c711408190a2b096daf57e6eac completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69be819fa79481908b35c424bff0c939 completed March 21, 2026, 11:31 a.m.
NEDg Description generation batch_69be82c740988190b1fc8af6bafba375 completed March 21, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_69be83cb23488190af7098f9d7af167f completed March 21, 2026, 11:40 a.m.
Created at: March 20, 2026, 1:10 p.m.