Triple

T12429952
Position Surface form Disambiguated ID Type / Status
Subject Matinkylä E296999 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Iso Omena E290452 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: Iso Omena | Statement: [Matinkylä, hasShoppingCentre, Iso Omena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iso Omena
Context triple: [Matinkylä, hasShoppingCentre, Iso Omena]
  • A. Iso Omena chosen
    Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
  • B. Oksanen
    Oksanen is a Finnish surname most notably borne by acclaimed author Sofi Oksanen.
  • C. Sanna
    Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
  • D. Jarmo
    Jarmo is an early Neolithic archaeological village site in modern Iraq, notable as one of the earliest known farming communities in the Near East.
  • E. Juho
    Juho is a Finnish masculine given name historically borne by several notable figures, including statesmen and cultural personalities.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f049c9c81908d870b0ee05f2d7e completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.