Triple

T10234986
Position Surface form Disambiguated ID Type / Status
Subject Mount Narodnaya E243440 entity
Predicate accessPoint P1985 FINISHED
Object Inta
Inta is a town in Russia’s Komi Republic that serves as a gateway settlement for expeditions into the remote northern Ural Mountains, including routes toward Mount Narodnaya.
 E851516 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: Inta | Statement: [Mount Narodnaya, accessPoint, Inta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inta
Context triple: [Mount Narodnaya, accessPoint, Inta]
  • A. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • B. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • C. Chará
    Chará is a Spanish-language surname most notably associated with Colombian professional footballers such as Diego Chará.
  • D. Gabrielino
    Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
  • E. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • 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: Inta
Triple: [Mount Narodnaya, accessPoint, Inta]
Generated description
Inta is a town in Russia’s Komi Republic that serves as a gateway settlement for expeditions into the remote northern Ural Mountains, including routes toward Mount Narodnaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inta
Target entity description: Inta is a town in Russia’s Komi Republic that serves as a gateway settlement for expeditions into the remote northern Ural Mountains, including routes toward Mount Narodnaya.
  • A. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • B. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • C. Chará
    Chará is a Spanish-language surname most notably associated with Colombian professional footballers such as Diego Chará.
  • D. Gabrielino
    Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
  • E. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20de15c8190a81f3e9803fdfcd1 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f757b514819087f5d5f659c50c66 completed April 9, 2026, 12:48 a.m.
NEDg Description generation batch_69d6fa2ea97081908395048218c0592b completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcb5dc4c8190944a423a9d16a4b8 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:21 a.m.