Triple

T5805109
Position Surface form Disambiguated ID Type / Status
Subject Oulu E128725 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Liminka
Liminka is a municipality in Northern Ostrobothnia, Finland, known for its rural landscapes and bird-rich Liminka Bay wetland area.
 E546969 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: Liminka | Statement: [Oulu, hasNeighbouringMunicipality, Liminka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liminka
Context triple: [Oulu, hasNeighbouringMunicipality, Liminka]
  • A. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • B. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • C. Lida
    Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
  • D. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Liminka
Triple: [Oulu, hasNeighbouringMunicipality, Liminka]
Generated description
Liminka is a municipality in Northern Ostrobothnia, Finland, known for its rural landscapes and bird-rich Liminka Bay wetland area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liminka
Target entity description: Liminka is a municipality in Northern Ostrobothnia, Finland, known for its rural landscapes and bird-rich Liminka Bay wetland area.
  • A. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • B. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • C. Lida
    Lida is a historic city in present-day western Belarus, known for its medieval castle and former role as a regional center in the Grand Duchy of Lithuania.
  • D. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • E. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f32f7081908d9306afc30147a1 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0996fb9148190ae8c09f4816d00b8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:52 p.m.