Triple

T18414043
Position Surface form Disambiguated ID Type / Status
Subject Norrtull E441840 entity
Predicate connectsTo P845 FINISHED
Object Valhallavägen NE NERFINISHED

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: Valhallavägen | Statement: [Norrtull, connectsTo, Valhallavägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valhallavägen
Context triple: [Norrtull, connectsTo, Valhallavägen]
  • A. Valhallavägen chosen
    Valhallavägen is a major thoroughfare in central Stockholm, Sweden, known for its length, cultural institutions, and proximity to several universities and parks.
  • B. Narvavägen
    Narvavägen is a prominent boulevard in central Stockholm, Sweden, known for its grand architecture and tree-lined avenue connecting key city squares and neighborhoods.
  • C. Karlavägen
    Karlavägen is a major, tree-lined boulevard in central Stockholm known for its elegant architecture and location in the upscale Östermalm district.
  • D. Monteliusvägen
    Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
  • E. Tullvaktsvägen
    Tullvaktsvägen is a street in Stockholm, Sweden, located in the Tullvaktsvägen area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.