Triple

T5877202
Position Surface form Disambiguated ID Type / Status
Subject Patriarch Filaret of Moscow E130654 entity
Predicate placeOfBirth P1 FINISHED
Object Staritsa
Staritsa is a historic town in Tver Oblast, Russia, known for its medieval monasteries and role as a regional center in the upper Volga region.
E576596 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: Staritsa | Statement: [Patriarch Filaret of Moscow, placeOfBirth, Staritsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staritsa
Context triple: [Patriarch Filaret of Moscow, placeOfBirth, Staritsa]
  • A. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • B. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • C. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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: Staritsa
Triple: [Patriarch Filaret of Moscow, placeOfBirth, Staritsa]
Generated description
Staritsa is a historic town in Tver Oblast, Russia, known for its medieval monasteries and role as a regional center in the upper Volga region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Staritsa
Target entity description: Staritsa is a historic town in Tver Oblast, Russia, known for its medieval monasteries and role as a regional center in the upper Volga region.
  • A. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • B. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • C. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • D. Pestovo
    Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03630eefc8190ad1aaa1919ecf97f completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e8061008190bab55d4f7cf38d04 completed March 23, 2026, 4:46 p.m.
NEDg Description generation batch_69c1e3029cbc8190bed9449ec60412c0 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e42a4c848190bc3a9273d5a6e211 completed March 24, 2026, 1:08 a.m.
Created at: March 22, 2026, 3:57 p.m.