Triple

T15793470
Position Surface form Disambiguated ID Type / Status
Subject ispravnik E382916 entity
Predicate appliesToJurisdiction P82 FINISHED
Object uyezd
An uyezd was a historical administrative district or county-level subdivision used in the Russian Empire and some neighboring Slavic states.
 E1177619 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: uyezd | Statement: [ispravnik, appliesToJurisdiction, uyezd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: uyezd
Context triple: [ispravnik, appliesToJurisdiction, uyezd]
  • A. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • C. Uzh
    Uzh is a river in Eastern Europe that flows through western Ukraine and Slovakia, serving as an important waterway for the Zakarpattia region.
  • D. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • E. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • 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: uyezd
Triple: [ispravnik, appliesToJurisdiction, uyezd]
Generated description
An uyezd was a historical administrative district or county-level subdivision used in the Russian Empire and some neighboring Slavic states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: uyezd
Target entity description: An uyezd was a historical administrative district or county-level subdivision used in the Russian Empire and some neighboring Slavic states.
  • A. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. UJE
    UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • C. Uzh
    Uzh is a river in Eastern Europe that flows through western Ukraine and Slovakia, serving as an important waterway for the Zakarpattia region.
  • D. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • E. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4da381c819086195e3d20591abf completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93c259e481908d419c101512c140 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9458a1388190bfb2b1ecbbf5ebdd completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.