Triple

T4826151
Position Surface form Disambiguated ID Type / Status
Subject Ryazan Oblast E107829 entity
Predicate hasHistoricCity P3786 FINISHED
Object Spassk-Ryazansky
Spassk-Ryazansky is a historic town in central Russia known as one of the older urban settlements of Ryazan Oblast.
E481790 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: Spassk-Ryazansky | Statement: [Ryazan Oblast, hasHistoricCity, Spassk-Ryazansky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spassk-Ryazansky
Context triple: [Ryazan Oblast, hasHistoricCity, Spassk-Ryazansky]
  • A. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • B. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • C. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • D. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • E. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • 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: Spassk-Ryazansky
Triple: [Ryazan Oblast, hasHistoricCity, Spassk-Ryazansky]
Generated description
Spassk-Ryazansky is a historic town in central Russia known as one of the older urban settlements of Ryazan Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spassk-Ryazansky
Target entity description: Spassk-Ryazansky is a historic town in central Russia known as one of the older urban settlements of Ryazan Oblast.
  • A. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • B. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • C. Podporozhye
    Podporozhye is a town in northwestern Russia situated within Leningrad (Saint Petersburg) Oblast, known for its location along the Svir River.
  • D. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • E. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caf22308190a2048ec6acfa5af2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778a642081908761067765ba09c8 completed March 21, 2026, 10:48 a.m.
NEDg Description generation batch_69be7a75b1bc81909f575c82e58234f0 completed March 21, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69be7b020eec8190ad00fc36622fe6cd completed March 21, 2026, 11:03 a.m.
Created at: March 20, 2026, 1:24 p.m.