Triple

T15879413
Position Surface form Disambiguated ID Type / Status
Subject Lempäälä E385034 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Kangasala NE NERFINISHED

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: Kangasala | Statement: [Lempäälä, hasNeighboringMunicipality, Kangasala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangasala
Context triple: [Lempäälä, hasNeighboringMunicipality, Kangasala]
  • A. Kangasala chosen
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • B. 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.
  • 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. Hankasalmi
    Hankasalmi is a rural municipality in Central Finland known for its lakes, forests, and outdoor recreational opportunities.
  • E. Padasjoki
    Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
Created at: April 10, 2026, 4:51 a.m.