Triple

T12833102
Position Surface form Disambiguated ID Type / Status
Subject Tuva Republic E306835 entity
Predicate ISO3166-2Code P208 FINISHED
Object RU-TY
RU-TY is the ISO 3166-2 subdivision code assigned to the Tuva Republic, a federal subject of Russia in southern Siberia.
E1004763 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: RU-TY | Statement: [Tuva Republic, ISO3166-2Code, RU-TY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RU-TY
Context triple: [Tuva Republic, ISO3166-2Code, RU-TY]
  • A. RUT
    RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
  • B. RU-ME
    RU-ME is the ISO 3166-2 subdivision code assigned to the Republic of Mari El, a federal subject of Russia.
  • C. RU-NEN
    RU-NEN is the ISO 3166-2 code assigned to the Nenets Autonomous Okrug, a federal subject in northwestern Russia known for its Arctic tundra and indigenous Nenets population.
  • D. RU-VOR
    RU-VOR is the ISO 3166-2 regional code assigned to Voronezh Oblast, a federal subject in western Russia.
  • E. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • 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: RU-TY
Triple: [Tuva Republic, ISO3166-2Code, RU-TY]
Generated description
RU-TY is the ISO 3166-2 subdivision code assigned to the Tuva Republic, a federal subject of Russia in southern Siberia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RU-TY
Target entity description: RU-TY is the ISO 3166-2 subdivision code assigned to the Tuva Republic, a federal subject of Russia in southern Siberia.
  • A. RUT
    RUT is the ticker symbol for the Russell 2000 Index, a major U.S. stock market index tracking the performance of approximately 2,000 small-cap companies.
  • B. RU-ME
    RU-ME is the ISO 3166-2 subdivision code assigned to the Republic of Mari El, a federal subject of Russia.
  • C. RU-NEN
    RU-NEN is the ISO 3166-2 code assigned to the Nenets Autonomous Okrug, a federal subject in northwestern Russia known for its Arctic tundra and indigenous Nenets population.
  • D. RU-VOR
    RU-VOR is the ISO 3166-2 regional code assigned to Voronezh Oblast, a federal subject in western Russia.
  • E. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed8d20081908e0fb5262b354cab completed May 2, 2026, 11:55 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:34 p.m.