Triple

T23554277
Position Surface form Disambiguated ID Type / Status
Subject Farsta E578135 entity
Predicate roadConnection P385 FINISHED
Object Nynäsvägen 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: Nynäsvägen | Statement: [Farsta, roadConnection, Nynäsvägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nynäsvägen
Context triple: [Farsta, roadConnection, Nynäsvägen]
  • A. Nynäsvägen chosen
    Nynäsvägen is a major road in Stockholm County, Sweden, that serves as a key route between central Stockholm and the southern coastal town of Nynäshamn.
  • B. Värtavägen
    Värtavägen is a street in Stockholm, Sweden, located in the Östermalm area and connecting the city center with the Värtahamnen harbor district.
  • C. Strandvägen
    Strandvägen is an elegant waterfront boulevard in central Stockholm, renowned for its grand 19th-century buildings, upscale residences, and scenic views over the harbor.
  • D. 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.
  • E. Korsvägen
    Korsvägen is a major public square and transport hub in central Gothenburg, Sweden, known for its proximity to several of the city’s key event and cultural venues.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:12 p.m.