Triple

T8833647
Position Surface form Disambiguated ID Type / Status
Subject Sozh E210207 entity
Predicate majorCityOnRiver P316 FINISHED
Object Slavgorod
Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
 E764045 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: Slavgorod | Statement: [Sozh, majorCityOnRiver, Slavgorod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slavgorod
Context triple: [Sozh, majorCityOnRiver, Slavgorod]
  • A. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • B. Dimitrovgrad
    Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
  • C. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Novouralsk
    Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
  • 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: Slavgorod
Triple: [Sozh, majorCityOnRiver, Slavgorod]
Generated description
Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slavgorod
Target entity description: Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
  • A. Dimitrovgrad
    Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
  • B. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • C. Samokov
    Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
  • D. Volodarsk
    Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
  • E. Novouralsk
    Novouralsk is a closed industrial city in Russia known historically for its role in the Soviet and Russian nuclear industry, particularly uranium enrichment.
  • 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_69cfab71962c8190823a1ca1d4fa56f3 completed April 3, 2026, 11:58 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:47 p.m.