Triple

T7793686
Position Surface form Disambiguated ID Type / Status
Subject Teberda Nature Reserve E180244 entity
Predicate nearestCity P350 FINISHED
Object Dombay
Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
 E693949 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: Dombay | Statement: [Teberda Nature Reserve, nearestCity, Dombay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dombay
Context triple: [Teberda Nature Reserve, nearestCity, Dombay]
  • A. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • B. Labpur
    Labpur is a town and administrative center in the Birbhum district of West Bengal, India, known for its rural cultural heritage and local markets.
  • C. Balasinor
    Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
  • D. Dinapore
    Dinapore was a major British military cantonment and administrative center in colonial India, located near present-day Patna in Bihar.
  • E. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • 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: Dombay
Triple: [Teberda Nature Reserve, nearestCity, Dombay]
Generated description
Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dombay
Target entity description: Dombay is a mountain resort settlement in the North Caucasus of Russia, known for its alpine scenery, skiing, and hiking opportunities.
  • A. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • B. Labpur
    Labpur is a town and administrative center in the Birbhum district of West Bengal, India, known for its rural cultural heritage and local markets.
  • C. Balasinor
    Balasinor is a town in Gujarat, India, known for its nearby dinosaur fossil park and rich paleontological significance.
  • D. Dinapore
    Dinapore was a major British military cantonment and administrative center in colonial India, located near present-day Patna in Bihar.
  • E. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae939c7388190b36d3e746be27a4d completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13dbe1f88190bde2c5c76dcfeb8f completed March 31, 2026, 12:22 a.m.
NEDg Description generation batch_69cb1730900c8190bc0322c4b6a3772f completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a29d2988190bb64aada0d2ef463 completed March 31, 2026, 12:49 a.m.
Created at: March 30, 2026, 4:31 p.m.