Triple

T9274612
Position Surface form Disambiguated ID Type / Status
Subject Southern Estonia E222913 entity
Predicate hasCity P316 FINISHED
Object Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
 E789703 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: Valga | Statement: [Southern Estonia, hasCity, Valga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valga
Context triple: [Southern Estonia, hasCity, Valga]
  • A. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • B. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • C. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • D. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • E. Eljas
    Eljas is a municipality in western Spain’s Extremadura region, known for its distinctive local Fala language and cultural identity.
  • 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: Valga
Triple: [Southern Estonia, hasCity, Valga]
Generated description
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valga
Target entity description: Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
  • A. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • B. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • C. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • D. Valluga
    Valluga is a prominent mountain peak in the Austrian Alps, popular for skiing, hiking, and panoramic views over the surrounding alpine ranges.
  • E. Eljas
    Eljas is a municipality in western Spain’s Extremadura region, known for its distinctive local Fala language and cultural identity.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1f57db881908a42ad5b042d0872 completed April 4, 2026, 6:38 a.m.
NEDg Description generation batch_69d0b3d0e4608190bc0e15c1fade41de completed April 4, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_69d0b42d75908190b37bd194af43b89d completed April 4, 2026, 6:48 a.m.
Created at: March 30, 2026, 7:33 p.m.