Triple

T7174607
Position Surface form Disambiguated ID Type / Status
Subject South Karelia E167287 entity
Predicate hasMunicipality P847 FINISHED
Object Imatra E119253 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: Imatra | Statement: [South Karelia, hasMunicipality, Imatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imatra
Context triple: [South Karelia, hasMunicipality, Imatra]
  • A. Imatra chosen
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • B. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • C. Kerava
    Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
  • D. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • E. Sotkamo
    Sotkamo is a municipality in eastern Finland known for its mining industry, outdoor recreation, and the popular Vuokatti ski and sports resort area.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88d770c8190b8d06dcd08447c08 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de8efd648190b70b4299ecae32c7 completed March 29, 2026, 8:10 a.m.
Created at: March 27, 2026, 2:48 p.m.