Triple

T952810
Position Surface form Disambiguated ID Type / Status
Subject Tallinn E20558 entity
Predicate borderedBy P224 FINISHED
Object Harku Parish
Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
E114151 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: Harku Parish | Statement: [Tallinn, borderedBy, Harku Parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harku Parish
Context triple: [Tallinn, borderedBy, Harku Parish]
  • A. Viimsi Parish
    Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
  • B. Vallentuna Municipality
    Vallentuna Municipality is a local government area in east-central Sweden that forms part of the suburban region north of Stockholm, known for its mix of rural landscapes, lakes, and growing residential communities.
  • C. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • D. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • E. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • 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: Harku Parish
Triple: [Tallinn, borderedBy, Harku Parish]
Generated description
Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harku Parish
Target entity description: Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
  • A. Viimsi Parish
    Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
  • B. Vallentuna Municipality
    Vallentuna Municipality is a local government area in east-central Sweden that forms part of the suburban region north of Stockholm, known for its mix of rural landscapes, lakes, and growing residential communities.
  • C. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • D. Viedma
    Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
  • E. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • 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_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_69ac17016be0819097207669eae17490 completed March 7, 2026, 12:16 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: March 1, 2026, 7:40 p.m.