Triple

T5019879
Position Surface form Disambiguated ID Type / Status
Subject Smolensk Oblast E112824 entity
Predicate hasCity P316 FINISHED
Object Roslavl
Roslavl is a historic town in western Russia known as an administrative and cultural center within Smolensk Oblast.
E488109 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: Roslavl | Statement: [Smolensk Oblast, hasCity, Roslavl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roslavl
Context triple: [Smolensk Oblast, hasCity, Roslavl]
  • 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. Rutul
    Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
  • C. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • D. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • E. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • 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: Roslavl
Triple: [Smolensk Oblast, hasCity, Roslavl]
Generated description
Roslavl is a historic town in western Russia known as an administrative and cultural center within Smolensk Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roslavl
Target entity description: Roslavl is a historic town in western Russia known as an administrative and cultural center within Smolensk Oblast.
  • 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. Rutul
    Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
  • C. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • D. Livoberezhna
    Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
  • E. Orlovika
    Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5e06fc8190bdd875c04cefd789 completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9e2508bc81909f24dd56e01d83fa completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e9b2d5c81908df67c69e7e96619 completed March 21, 2026, 1:35 p.m.
Created at: March 20, 2026, 1:36 p.m.