Triple

T15040596
Position Surface form Disambiguated ID Type / Status
Subject Mariaberget E378588 entity
Predicate hasStreet P959 FINISHED
Object Monteliusvägen E378597 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: Monteliusvägen | Statement: [Mariaberget, hasStreet, Monteliusvägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monteliusvägen
Context triple: [Mariaberget, hasStreet, Monteliusvägen]
  • A. Monteliusvägen chosen
    Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
  • B. 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.
  • C. 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.
  • D. Strömgatan
    Strömgatan is a central street in Stockholm, Sweden, running along the waterfront near key government buildings and historic squares.
  • E. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec87725348190a0da7555b62adbdc completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3 a.m.