Triple

T15428195
Position Surface form Disambiguated ID Type / Status
Subject Seto people E369566 entity
Predicate notableVillageRegion P40907 FINISHED
Object Värska
Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
E1155578 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: Värska | Statement: [Seto people, notableVillageRegion, Värska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Värska
Context triple: [Seto people, notableVillageRegion, Värska]
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • C. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • D. Valga
    Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • E. Lasva
    Lasva is a small village located in southeastern Estonia within Võru County.
  • 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: Värska
Triple: [Seto people, notableVillageRegion, Värska]
Generated description
Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Värska
Target entity description: Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
  • A. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • B. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • C. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • D. Valga
    Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • E. Lasva
    Lasva is a small village located in southeastern Estonia within Võru County.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b5a328c81909aaa74c6f002875c completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1bde8914819087d5d2ac88de34aa completed May 9, 2026, 11:34 a.m.
Created at: April 10, 2026, 3:20 a.m.