Triple

T12577217
Position Surface form Disambiguated ID Type / Status
Subject Päijät-Häme E300239 entity
Predicate contains P35 FINISHED
Object Kärkölä E766970 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: Kärkölä | Statement: [Päijät-Häme, contains, Kärkölä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kärkölä
Context triple: [Päijät-Häme, contains, Kärkölä]
  • A. Kärkölä chosen
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • B. Karkkila
    Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
  • C. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • D. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • E. Kokemäki
    Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a16408081909097d7e3ab750a27 completed May 3, 2026, 8:40 a.m.
Created at: April 9, 2026, 4:53 p.m.