Triple

T6939581
Position Surface form Disambiguated ID Type / Status
Subject Oulujoki E160638 entity
Predicate flowsThrough P225 FINISHED
Object Muhos
Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
 E628664 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: Muhos | Statement: [Oulujoki, flowsThrough, Muhos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muhos
Context triple: [Oulujoki, flowsThrough, Muhos]
  • A. Nevinnomyssk
    Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
  • B. Mirow
    Mirow is a small historic town in the Mecklenburg Lake District of northeastern Germany, known for its castle island and connections to the House of Mecklenburg-Strelitz.
  • C. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • D. Háje
    Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
  • E. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • 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: Muhos
Triple: [Oulujoki, flowsThrough, Muhos]
Generated description
Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muhos
Target entity description: Muhos is a municipality in Northern Ostrobothnia, Finland, known for its riverside landscapes along the Oulujoki and its proximity to the city of Oulu.
  • A. Nevinnomyssk
    Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
  • B. Mirow
    Mirow is a small historic town in the Mecklenburg Lake District of northeastern Germany, known for its castle island and connections to the House of Mecklenburg-Strelitz.
  • C. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • D. Háje
    Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
  • E. Kovel
    Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.