Triple

T9064362
Position Surface form Disambiguated ID Type / Status
Subject Satakunta E217205 entity
Predicate hasRiver P165 FINISHED
Object Kokemäenjoki E549547 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: Kokemäenjoki | Statement: [Satakunta, hasRiver, Kokemäenjoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokemäenjoki
Context triple: [Satakunta, hasRiver, Kokemäenjoki]
  • A. Kokemäenjoki chosen
    Kokemäenjoki is a major river in southwestern Finland that flows from the Pirkanmaa region to the Gulf of Bothnia, passing through several towns and historically important industrial areas.
  • B. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • C. Kemijoki
    Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
  • D. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • E. Kyrönjoki
    Kyrönjoki is a river in western Finland that flows through the Ostrobothnia region and is known for its agricultural landscapes and frequent flooding.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d054413cd881908bd4aca6a69ef663 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:11 p.m.