Triple

T12969774
Position Surface form Disambiguated ID Type / Status
Subject Pirkanmaa E321361 entity
Predicate hasCity P316 FINISHED
Object Pälkäne E846954 NE FINISHED

How this triple was built (2 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, hasCity, Pälkäne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pälkäne
Context triple: [Pirkanmaa, hasCity, Pälkäne]
  • A. Pälkäne chosen
    Pälkäne is a municipality in southern Finland known for its lakeside landscapes and rural character.
  • B. 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.
  • C. 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.
  • D. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7396b901c81908bfac5b40e3caed4 completed May 3, 2026, 12:02 p.m.
Created at: April 9, 2026, 8:34 p.m.