Triple

T8833646
Position Surface form Disambiguated ID Type / Status
Subject Sozh E210207 entity
Predicate majorCityOnRiver P316 FINISHED
Object Krasny
Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
E762035 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: Krasny | Statement: [Sozh, majorCityOnRiver, Krasny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasny
Context triple: [Sozh, majorCityOnRiver, Krasny]
  • A. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • B. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • C. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • D. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • E. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • 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: Krasny
Triple: [Sozh, majorCityOnRiver, Krasny]
Generated description
Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krasny
Target entity description: Krasny is a town situated along the Sozh River, known for its regional administrative and cultural significance.
  • A. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • B. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • C. Krasnoturyinsk
    Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
  • D. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • E. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa069d7488190ade4caa15fa83cd9 completed April 3, 2026, 11:11 a.m.
NEDg Description generation batch_69cfa1714b4081909035c9b15c82c1be completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa24be80481909e2b575f99cd1dc4 completed April 3, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:47 p.m.