Triple

T12444691
Position Surface form Disambiguated ID Type / Status
Subject Republic of Mari El E297367 entity
Predicate ISO3166-2 P189 FINISHED
Object RU-ME
RU-ME is the ISO 3166-2 subdivision code assigned to the Republic of Mari El, a federal subject of Russia.
E985069 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-ME | Statement: [Republic of Mari El, ISO3166-2, RU-ME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RU-ME
Context triple: [Republic of Mari El, ISO3166-2, RU-ME]
  • A. RU-VOR
    RU-VOR is the ISO 3166-2 regional code assigned to Voronezh Oblast, a federal subject in western Russia.
  • B. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • C. RU-DA
    RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
  • D. 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.
  • E. Russi
    Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
  • 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-ME
Triple: [Republic of Mari El, ISO3166-2, RU-ME]
Generated description
RU-ME is the ISO 3166-2 subdivision code assigned to the Republic of Mari El, a federal subject of Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RU-ME
Target entity description: RU-ME is the ISO 3166-2 subdivision code assigned to the Republic of Mari El, a federal subject of Russia.
  • A. RU-VOR
    RU-VOR is the ISO 3166-2 regional code assigned to Voronezh Oblast, a federal subject in western Russia.
  • B. RU-KOS
    RU-KOS is the ISO 3166-2 subdivision code assigned to Kostroma Oblast, a federal subject in central Russia.
  • C. RU-DA
    RU-DA is the ISO 3166-2 regional code assigned to the Republic of Dagestan within the Russian Federation.
  • D. 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.
  • E. Russi
    Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8fd9848190a83410353d88ea8d completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6415f11d88190a9f77eb1890f76ef completed May 2, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:55 p.m.