Triple

T5441876
Position Surface form Disambiguated ID Type / Status
Subject Finnish railway network E122151 entity
Predicate connectsIndustrialCenter P64091 FINISHED
Object Rauma E212942 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: Rauma | Statement: [Finnish railway network, connectsIndustrialCenter, Rauma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rauma
Context triple: [Finnish railway network, connectsIndustrialCenter, Rauma]
  • A. Rauma chosen
    Rauma is a coastal town in western Finland known for its well-preserved wooden Old Town, a UNESCO World Heritage Site, and its maritime and industrial heritage.
  • B. Rauma
    Rauma is a municipality in western Norway known for its dramatic fjord and mountain landscapes, including the Romsdalen valley and Trollveggen cliff.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • E. Ruokolahti
    Ruokolahti is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes and proximity to the Russian border.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd964583008190bf7b94f656e4ecf2 completed March 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf412daa408190a46926f28339aeac completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.