Triple

T11788462
Position Surface form Disambiguated ID Type / Status
Subject Rovaniemi E280329 entity
Predicate locatedOnRiver P165 FINISHED
Object Ounasjoki E522440 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: Ounasjoki | Statement: [Rovaniemi, locatedOnRiver, Ounasjoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ounasjoki
Context triple: [Rovaniemi, locatedOnRiver, Ounasjoki]
  • A. Ounasjoki chosen
    Ounasjoki is a major river in Finnish Lapland known for its largely unregulated, natural course and importance to the region’s ecosystems and traditional livelihoods.
  • B. Kuusjoki
    Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
  • C. Sanginjoki
    Sanginjoki is a river in northern Finland that serves as one of the tributaries feeding into the larger Oulujoki watercourse.
  • D. Oulujoki
    Oulujoki is a river in northern Finland that flows from Lake Oulujärvi to the city of Oulu and into the Gulf of Bothnia.
  • E. Ilmajoki
    Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f8a57ec8190aded70ae89aa8cf7 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:42 p.m.