Triple

T4891149
Position Surface form Disambiguated ID Type / Status
Subject Tula Oblast E109563 entity
Predicate hasCity P316 FINISHED
Object Uzlovaya
Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
 E476562 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: Uzlovaya | Statement: [Tula Oblast, hasCity, Uzlovaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uzlovaya
Context triple: [Tula Oblast, hasCity, Uzlovaya]
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • D. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • E. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • 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: Uzlovaya
Triple: [Tula Oblast, hasCity, Uzlovaya]
Generated description
Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uzlovaya
Target entity description: Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Orzola
    Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
  • D. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • E. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • 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.