Triple

T9700845
Position Surface form Disambiguated ID Type / Status
Subject Suursaari E234770 entity
Predicate nameInFinnish P60316 FINISHED
Object Suursaari E234770 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: Suursaari | Statement: [Suursaari, nameInFinnish, Suursaari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suursaari
Context triple: [Suursaari, nameInFinnish, Suursaari]
  • A. Suursaari chosen
    Suursaari is a large, strategically located island in the eastern Gulf of Finland, known for its rugged terrain, historical military significance, and shifting control between Finland and Russia.
  • B. Seurasaari
    Seurasaari is an island in Helsinki, Finland, best known for its open-air museum showcasing traditional Finnish wooden buildings and rural life.
  • C. Siltasaari
    Siltasaari is a central district of Helsinki, Finland, known for its urban waterfront setting and role as a key traffic and commercial hub.
  • D. Kuusisaari
    Kuusisaari is an affluent residential island and neighborhood in Helsinki, Finland, known for its embassies, villas, and seaside location.
  • E. Tammisaari
    Tammisaari is a historic coastal town in southern Finland, known for its well-preserved wooden old town and seaside setting.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d70f55c8190934f37c25e9d4ba4 completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912e645881908d223a93f3ee61da completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:18 p.m.