Triple

T15073470
Position Surface form Disambiguated ID Type / Status
Subject Karlaplan E379938 entity
Predicate roadJunctionOf P6234 FINISHED
Object Karlavägen E390852 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: Karlavägen | Statement: [Karlaplan, roadJunctionOf, Karlavägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlavägen
Context triple: [Karlaplan, roadJunctionOf, Karlavägen]
  • A. Karlavägen chosen
    Karlavägen is a major, tree-lined boulevard in central Stockholm known for its elegant architecture and location in the upscale Östermalm district.
  • B. Karlbergsvägen
    Karlbergsvägen is a notable street in the Vasastan district of central Stockholm, Sweden, known for its residential buildings, shops, and proximity to Karlberg Palace and nearby parks.
  • 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. Mölndalsvägen
    Mölndalsvägen is a major thoroughfare in Gothenburg, Sweden, connecting the city center with the suburb of Mölndal and serving as an important route for traffic and public transport.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3647bda881909a83311926096a29 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:02 a.m.