Triple

T10073305
Position Surface form Disambiguated ID Type / Status
Subject Pirkanmaa E213681 entity
Predicate containsMunicipality P852 FINISHED
Object Pälkäne
Pälkäne is a municipality in southern Finland known for its lakeside landscapes and rural character.
 E846954 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: Pälkäne | Statement: [Pirkanmaa, containsMunicipality, Pälkäne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pälkäne
Context triple: [Pirkanmaa, containsMunicipality, Pälkäne]
  • A. Pelinna
    Pelinna was an ancient city in Thessaly, Greece, notable as an archaeological site where Orphic gold tablets associated with mystery cult funerary practices were discovered.
  • B. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Pietilä
    Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
  • E. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • 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: Pälkäne
Triple: [Pirkanmaa, containsMunicipality, Pälkäne]
Generated description
Pälkäne is a municipality in southern Finland known for its lakeside landscapes and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pälkäne
Target entity description: Pälkäne is a municipality in southern Finland known for its lakeside landscapes and rural character.
  • A. Pelinna
    Pelinna was an ancient city in Thessaly, Greece, notable as an archaeological site where Orphic gold tablets associated with mystery cult funerary practices were discovered.
  • B. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Pietilä
    Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
  • E. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd015ad488190aee3a2bfb58fb855 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317367204819097d3ed6a72a0f8b5 completed April 6, 2026, 2:15 a.m.
NEDg Description generation batch_69d3183a8410819094e81fe9f43717b2 completed April 6, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69d318adfcb081909a3567f5327765ab completed April 6, 2026, 2:21 a.m.
Created at: March 30, 2026, 8:59 p.m.