Triple

T9082377
Position Surface form Disambiguated ID Type / Status
Subject Kauniainen E217663 entity
Predicate hasNameInFinnish P23453 FINISHED
Object Kauniainen E217663 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: Kauniainen | Statement: [Kauniainen, hasNameInFinnish, Kauniainen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauniainen
Context triple: [Kauniainen, hasNameInFinnish, Kauniainen]
  • A. Kauniainen chosen
    Kauniainen is a small, affluent town and municipality in southern Finland, completely surrounded by the city of Espoo and known for its high standard of living.
  • B. Kukkonen
    Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
  • C. Kiukainen
    Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
  • D. Sakari
    Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
  • E. Keilaniemi
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960a2760819084aab611eb1c43a9 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02ffa9fb88190ab088be46b566ae8 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:13 p.m.