Triple

T5151413
Position Surface form Disambiguated ID Type / Status
Subject LAB University of Applied Sciences E116202 entity
Predicate locatedIn P40 FINISHED
Object Lappeenranta E21221 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: Lappeenranta | Statement: [LAB University of Applied Sciences, locatedIn, Lappeenranta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lappeenranta
Context triple: [LAB University of Applied Sciences, locatedIn, Lappeenranta]
  • A. Lappeenranta chosen
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • B. 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.
  • 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. Lempäälä
    Lempäälä is a municipality in the Pirkanmaa region of southern Finland, known for its lakeside landscapes and proximity to the city of Tampere.
  • E. Kokkola
    Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc205d77c8190bcb9e7ce7782202b completed March 22, 2026, 10:18 a.m.
Created at: March 20, 2026, 1:44 p.m.