Triple

T3069171
Position Surface form Disambiguated ID Type / Status
Subject Saratov Oblast E62177 entity
Predicate containsCity P294 FINISHED
Object Balashov
Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
E469595 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: Balashov | Statement: [Saratov Oblast, containsCity, Balashov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balashov
Context triple: [Saratov Oblast, containsCity, Balashov]
  • A. Balakovo
    Balakovo is a city in Russia’s Saratov Oblast known as an industrial and energy hub on the Volga River.
  • B. Dmitrov
    Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
  • C. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • 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: Balashov
Triple: [Saratov Oblast, containsCity, Balashov]
Generated description
Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Balashov
Target entity description: Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
  • A. Balakovo
    Balakovo is a city in Russia’s Saratov Oblast known as an industrial and energy hub on the Volga River.
  • B. Dmitrov
    Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
  • C. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0ffcc208190962cc9edcbf43c31 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43705d708190abea669829ef2970 completed March 21, 2026, 7:06 a.m.
NEDg Description generation batch_69be4544ebe88190a2391484ac3ab18d completed March 21, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69be45bc7b2c8190aa293d2c10077864 completed March 21, 2026, 7:16 a.m.
Created at: March 8, 2026, 3:02 p.m.