Triple

T1216951
Position Surface form Disambiguated ID Type / Status
Subject Stavropol Krai E26125 entity
Predicate hasCity P316 FINISHED
Object Yessentuki
Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
 E152967 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: Yessentuki | Statement: [Stavropol Krai, hasCity, Yessentuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yessentuki
Context triple: [Stavropol Krai, hasCity, Yessentuki]
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Mytishchi
    Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
  • C. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • D. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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: Yessentuki
Triple: [Stavropol Krai, hasCity, Yessentuki]
Generated description
Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yessentuki
Target entity description: Yessentuki is a Russian spa city in the North Caucasus renowned for its mineral springs and health resorts.
  • A. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • B. Mytishchi
    Mytishchi is a city in western Russia that serves as a major suburban and industrial center just northeast of Moscow.
  • C. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • D. Pechenga
    Pechenga is a region in Russia’s far northwest, near the Barents Sea and the Norwegian border, historically known as Petsamo when it belonged to Finland.
  • E. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf17a0cc819086da05f419e63e5a completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfa308148190a27f5433abcb2a18 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0912bf481909bd27111b4daaa0b completed March 8, 2026, 12:19 a.m.
Created at: March 1, 2026, 7:46 p.m.