Triple

T12190634
Position Surface form Disambiguated ID Type / Status
Subject Otaniemi E290450 entity
Predicate adjacentTo P224 FINISHED
Object Keilaniemi E723453 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: Keilaniemi | Statement: [Otaniemi, adjacentTo, Keilaniemi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keilaniemi
Context triple: [Otaniemi, adjacentTo, Keilaniemi]
  • A. Keilaniemi chosen
    Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
  • B. Kallio
    Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
  • C. Kallio
    Kallio is a densely populated, historically working-class district in central Helsinki known for its vibrant nightlife, bohemian atmosphere, and diverse urban culture.
  • D. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • E. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d431308190be15e9d9dbee1eaf completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:50 p.m.