Triple

T952813
Position Surface form Disambiguated ID Type / Status
Subject Tallinn E20558 entity
Predicate hasDistrict P459 FINISHED
Object Lasnamäe
Lasnamäe is a large residential district in the eastern part of Tallinn, Estonia, known for its Soviet-era apartment blocks and dense population.
 E20558 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: Lasnamäe | Statement: [Tallinn, hasDistrict, Lasnamäe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasnamäe
Context triple: [Tallinn, hasDistrict, Lasnamäe]
  • 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. Tartu
    Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
  • C. Partenit
    Partenit is a seaside resort town on the southern coast of Crimea, known for its picturesque bays, mild climate, and popular holiday facilities.
  • D. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • E. Tallinn
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • 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: Lasnamäe
Triple: [Tallinn, hasDistrict, Lasnamäe]
Generated description
Lasnamäe is a large residential district in the eastern part of Tallinn, Estonia, known for its Soviet-era apartment blocks and dense population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasnamäe
Target entity description: Lasnamäe is a large residential district in the eastern part of Tallinn, Estonia, known for its Soviet-era apartment blocks and dense population.
  • 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. Tartu
    Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
  • C. Partenit
    Partenit is a seaside resort town on the southern coast of Crimea, known for its picturesque bays, mild climate, and popular holiday facilities.
  • D. Vianen
    Vianen is a historic Dutch town known for its medieval city center and location near major rivers in the western Netherlands.
  • E. Tallinn chosen
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • F. None of above.

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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d8f2e0819097554a301f8aa70f completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119fd16c81908c43b6d3dc6d53b6 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12248f1c81908b9bd511e4363130 completed March 7, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69ac12c786ac81909938e043a1e2e8b9 completed March 7, 2026, 11:57 a.m.
Created at: March 1, 2026, 7:40 p.m.