Triple

T8592612
Position Surface form Disambiguated ID Type / Status
Subject Meilahti E203464 entity
Predicate traversedBy P225 FINISHED
Object Mannerheimintie E650041 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: Mannerheimintie | Statement: [Meilahti, traversedBy, Mannerheimintie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mannerheimintie
Context triple: [Meilahti, traversedBy, Mannerheimintie]
  • A. Mannerheimintie chosen
    Mannerheimintie is one of the main thoroughfares in central Helsinki, Finland, known for its major cultural landmarks, shops, and heavy traffic.
  • B. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • C. Valhallavägen
    Valhallavägen is a major thoroughfare in central Stockholm, Sweden, known for its length, cultural institutions, and proximity to several universities and parks.
  • D. Monteliusvägen
    Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
  • E. Kungsgatan
    Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
  • 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8becbd88190837478e302d5e5b4 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:23 p.m.