Triple

T21320727
Position Surface form Disambiguated ID Type / Status
Subject Sveavägen E525605 entity
Predicate hasJunctionWith P1018 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: [Sveavägen, hasJunctionWith, Valhallavägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valhallavägen
Context triple: [Sveavägen, hasJunctionWith, 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.