Triple

T1088572
Position Surface form Disambiguated ID Type / Status
Subject Saaremaa E24108 entity
Predicate capital P234 FINISHED
Object Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
 E127388 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: Kuressaare | Statement: [Saaremaa, capital, Kuressaare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuressaare
Context triple: [Saaremaa, capital, Kuressaare]
  • A. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • B. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • 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. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • E. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • 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: Kuressaare
Triple: [Saaremaa, capital, Kuressaare]
Generated description
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuressaare
Target entity description: Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • A. Saaremaa
    Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
  • B. Hiiumaa
    Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
  • 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. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • E. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac538cd45c8190bcab18ce4e281e72 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac53f04ad081908f1536f17e65f633 completed March 7, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac54971fc88190b009a05180f10cf5 completed March 7, 2026, 4:38 p.m.
Created at: March 1, 2026, 7:42 p.m.