Triple

T8761903
Position Surface form Disambiguated ID Type / Status
Subject Kislovodsk E208221 entity
Predicate nearbyCities P3883 FINISHED
Object Essentuki
Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
E755146 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: Essentuki | Statement: [Kislovodsk, nearbyCities, Essentuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Essentuki
Context triple: [Kislovodsk, nearbyCities, Essentuki]
  • A. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • B. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • C. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Oukaimeden
    Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
  • 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: Essentuki
Triple: [Kislovodsk, nearbyCities, Essentuki]
Generated description
Essentuki is a Russian spa town 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: Essentuki
Target entity description: Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
  • A. Rusutsu
    Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • B. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • C. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • D. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Oukaimeden
    Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfa9d6c81908c4c6b3a6f84f67d completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4354a4c081908c338db408694abf completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf44b3ce2c8190b109189990ae6564 completed April 3, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:40 p.m.