Triple

T15040965
Position Surface form Disambiguated ID Type / Status
Subject Monteliusvägen E378597 entity
Predicate hasView P854 FINISHED
Object Söder Mälarstrand E556744 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: Söder Mälarstrand | Statement: [Monteliusvägen, hasView, Söder Mälarstrand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söder Mälarstrand
Context triple: [Monteliusvägen, hasView, Söder Mälarstrand]
  • A. Söder Mälarstrand chosen
    Söder Mälarstrand is a waterfront area along the southern shore of central Stockholm’s Lake Mälaren, known for its quays, historic buildings, and views toward the city center.
  • B. Tyresö Strand
    Tyresö Strand is a coastal residential area in the Stockholm County region of Sweden, known for its seaside location and proximity to both nature and the capital city.
  • C. Lilla Nygatan
    Lilla Nygatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its preserved medieval character and traditional urban streetscape.
  • D. Hässelby strand
    Hässelby strand is a residential district in western Stockholm, Sweden, known for its 1950s housing developments and its role as a terminus on the city’s metro system.
  • E. Gullmarsplan
    Gullmarsplan is a major public transport hub and metro station in southern Stockholm, serving as a key connection point between multiple subway lines and bus routes.
  • 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_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3 a.m.