Triple

T11425312
Position Surface form Disambiguated ID Type / Status
Subject Anne Leppälä-Nilsson E270731 entity
Predicate residence P75 FINISHED
Object Hämeenlinna E52339 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: Hämeenlinna | Statement: [Anne Leppälä-Nilsson, residence, Hämeenlinna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hämeenlinna
Context triple: [Anne Leppälä-Nilsson, residence, Hämeenlinna]
  • A. Hämeenlinna chosen
    Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
  • B. Hämeenkoski
    Hämeenkoski is a small municipality in southern Finland, historically part of the Häme region and known as the birthplace of former Finnish president Juho Kusti Paasikivi.
  • C. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • D. Hämeenkyrö
    Hämeenkyrö is a rural municipality in the Pirkanmaa region of western Finland, known for its scenic lake landscapes and traditional Finnish countryside.
  • E. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:35 p.m.