Triple

T4254336
Position Surface form Disambiguated ID Type / Status
Subject Krasnogvardeysky District E95934 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Biryuch
Biryuch is a small town in Belgorod Oblast, Russia, known historically as a local trading center and administrative hub in the region.
E424357 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: Biryuch | Statement: [Krasnogvardeysky District, hasAdministrativeCenter, Biryuch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biryuch
Context triple: [Krasnogvardeysky District, hasAdministrativeCenter, Biryuch]
  • A. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • B. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • C. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • 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: Biryuch
Triple: [Krasnogvardeysky District, hasAdministrativeCenter, Biryuch]
Generated description
Biryuch is a small town in Belgorod Oblast, Russia, known historically as a local trading center and administrative hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biryuch
Target entity description: Biryuch is a small town in Belgorod Oblast, Russia, known historically as a local trading center and administrative hub in the region.
  • A. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • B. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • C. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Bulganin
    Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a887703c81909a40f23f83154b8c completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a8ffd4508190b33117d3fc963b3d completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9754d5c8190b1ab724a4758c22a completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:06 p.m.