Triple

T4891139
Position Surface form Disambiguated ID Type / Status
Subject Tula Oblast E109563 entity
Predicate knownFor P22 FINISHED
Object Tula samovars
Tula samovars are traditional Russian metal tea urns famed for their craftsmanship and long-standing production in the city of Tula.
 E476561 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: Tula samovars | Statement: [Tula Oblast, knownFor, Tula samovars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tula samovars
Context triple: [Tula Oblast, knownFor, Tula samovars]
  • A. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • B. Vitarte
    Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
  • C. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • D. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • E. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava 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: Tula samovars
Triple: [Tula Oblast, knownFor, Tula samovars]
Generated description
Tula samovars are traditional Russian metal tea urns famed for their craftsmanship and long-standing production in the city of Tula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tula samovars
Target entity description: Tula samovars are traditional Russian metal tea urns famed for their craftsmanship and long-standing production in the city of Tula.
  • A. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • B. Vitarte
    Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
  • C. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • D. Kastanitsa
    Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
  • E. Topľa
    Topľa is a river in eastern Slovakia that flows through the Prešov Region before joining the Ondava 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.