Triple

T20412963
Position Surface form Disambiguated ID Type / Status
Subject Kuusalu Parish E500634 entity
Predicate hasSettlement P1068 FINISHED
Object Kolga
Kolga is a village in northern Estonia known for its historic manor complex and scenic natural surroundings.
E1430159 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: Kolga | Statement: [Kuusalu Parish, hasSettlement, Kolga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolga
Context triple: [Kuusalu Parish, hasSettlement, Kolga]
  • A. Kologriv
    Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
  • B. Kolakham
    Kolakham is a small, scenic village in the Kalimpong district of West Bengal, India, known for its tranquil forests, mountain views, and proximity to Neora Valley National Park.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Zakopianka
    Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
  • E. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • 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: Kolga
Triple: [Kuusalu Parish, hasSettlement, Kolga]
Generated description
Kolga is a village in northern Estonia known for its historic manor complex and scenic natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kolga
Target entity description: Kolga is a village in northern Estonia known for its historic manor complex and scenic natural surroundings.
  • A. Kologriv
    Kologriv is a small historic town in Kostroma Oblast, Russia, known for its traditional wooden architecture and location within a forested, sparsely populated region.
  • B. Kolakham
    Kolakham is a small, scenic village in the Kalimpong district of West Bengal, India, known for its tranquil forests, mountain views, and proximity to Neora Valley National Park.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Zakopianka
    Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
  • E. Yaropolch
    Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a417f208190be9bc11650ee0a87 completed April 20, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b23f8448190ab79b3a6ac3e23c1 completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a08801702488190ba3122edb09cdaab completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08811c9af081908d898134bf80452e completed May 16, 2026, 2:37 p.m.
Created at: April 16, 2026, 11:30 a.m.