Triple

T16023309
Position Surface form Disambiguated ID Type / Status
Subject Nybrogatan E388655 entity
Predicate hasStreetNameElement P62637 FINISHED
Object Nybro
Nybro is a small town in southeastern Sweden, known for its glass industry and location in Kalmar County.
 E1189825 NE FINISHED

How this triple was built (4 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: Nybro | Statement: [Nybrogatan, hasStreetNameElement, Nybro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nybro
Context triple: [Nybrogatan, hasStreetNameElement, Nybro]
  • A. Nybroviken
    Nybroviken is a small bay in central Stockholm, Sweden, known for its waterfront promenades, boat traffic, and proximity to major city squares and cultural landmarks.
  • B. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • C. Hisingsbron
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • D. Gavleån
    Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
  • E. Nidelva
    Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nybro
Triple: [Nybrogatan, hasStreetNameElement, Nybro]
Generated description
Nybro is a small town in southeastern Sweden, known for its glass industry and location in Kalmar County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nybro
Target entity description: Nybro is a small town in southeastern Sweden, known for its glass industry and location in Kalmar County.
  • A. Nybroviken
    Nybroviken is a small bay in central Stockholm, Sweden, known for its waterfront promenades, boat traffic, and proximity to major city squares and cultural landmarks.
  • B. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • C. Hisingsbron
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • D. Gavleån
    Gavleån is a river in eastern Sweden that flows through the province of Gästrikland to the Gulf of Bothnia, passing the city of Gävle.
  • E. Nidelva
    Nidelva is the main river flowing through Trondheim, Norway, known for its scenic bends, historic waterfront buildings, and central role in the city’s landscape.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.