Triple

T9167980
Position Surface form Disambiguated ID Type / Status
Subject Kanta-Häme E220011 entity
Predicate contains P35 FINISHED
Object Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
 E786633 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: Tammela | Statement: [Kanta-Häme, contains, Tammela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tammela
Context triple: [Kanta-Häme, contains, Tammela]
  • A. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • B. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • E. Pietilä
    Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
  • 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: Tammela
Triple: [Kanta-Häme, contains, Tammela]
Generated description
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tammela
Target entity description: Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • A. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • B. Sastamala
    Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Vihti
    Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
  • E. Pietilä
    Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07768fcd48190b7d4181e57f49753 completed April 4, 2026, 2:28 a.m.
NEDg Description generation batch_69d07ba6ca3881909aa43516a3ac0272 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c04ab98819092a2d515c7b1baaa completed April 4, 2026, 2:48 a.m.
Created at: March 30, 2026, 7:22 p.m.