Triple

T16023302
Position Surface form Disambiguated ID Type / Status
Subject Nybrogatan E388655 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Strandvägen E379939 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: Strandvägen | Statement: [Nybrogatan, hasNearbyStreet, Strandvägen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strandvägen
Context triple: [Nybrogatan, hasNearbyStreet, Strandvägen]
  • A. Strandvägen chosen
    Strandvägen is an elegant waterfront boulevard in central Stockholm, renowned for its grand 19th-century buildings, upscale residences, and scenic views over the harbor.
  • B. 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.
  • C. Värtavägen
    Värtavägen is a street in Stockholm, Sweden, located in the Östermalm area and connecting the city center with the Värtahamnen harbor district.
  • D. Ekerövägen
    Ekerövägen is a main road in Sweden that connects Ekerö Island with the surrounding mainland areas near Stockholm.
  • E. Örgrytevägen
    Örgrytevägen is a major street in Gothenburg, Sweden, connecting the central area around Korsvägen with the district of Örgryte and serving as an important urban thoroughfare.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18324bf308190b80bb445c7911198 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.