Triple

T12801160
Position Surface form Disambiguated ID Type / Status
Subject Viipuri Province (historical Finland) E306019 entity
Predicate containsHistoricTown P43430 FINISHED
Object Imatra E119253 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: Imatra | Statement: [Viipuri Province (historical Finland), containsHistoricTown, Imatra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imatra
Context triple: [Viipuri Province (historical Finland), containsHistoricTown, Imatra]
  • A. Imatra chosen
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • B. Riihimäki
    Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
  • C. 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.
  • D. Kerava
    Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
  • E. Lappeenranta
    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.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7d3f5c8190bf01bef5d263ca26 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007581ba008190a6d558c8f4e861d6 completed May 10, 2026, 12:09 p.m.
Created at: April 9, 2026, 5:30 p.m.