Triple

T15678399
Position Surface form Disambiguated ID Type / Status
Subject Keskusta (Jyväskylä) E377504 entity
Predicate governingBody P46 FINISHED
Object City of Jyväskylä E77953 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: City of Jyväskylä | Statement: [Keskusta (Jyväskylä), governingBody, City of Jyväskylä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Jyväskylä
Context triple: [Keskusta (Jyväskylä), governingBody, City of Jyväskylä]
  • A. Jyväskylä chosen
    Jyväskylä is a central Finnish city known for its lakeside setting, strong educational institutions, and association with architect Alvar Aalto.
  • B. City of Kauniainen
    The City of Kauniainen is a small, affluent municipality completely surrounded by Espoo in the Helsinki metropolitan area of Finland, known for its high quality of life and strong public services.
  • C. Riihimäki
    Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
  • D. Kajaani
    Kajaani is a small city in central Finland known for its historic castle ruins and role as a regional cultural and economic center in the Kainuu region.
  • E. Juankoski
    Juankoski is a small town and former industrial municipality in eastern Finland, known for its historical ironworks and lakeside scenery.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ec9fb3881908df8d3d318cbd238 completed May 10, 2026, 11:40 a.m.
Created at: April 10, 2026, 4:16 a.m.