Triple

T4916978
Position Surface form Disambiguated ID Type / Status
Subject Lilla Värtan E110372 entity
Predicate nearbyDistrict P18717 FINISHED
Object Hjorthagen
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
E482640 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: Hjorthagen | Statement: [Lilla Värtan, nearbyDistrict, Hjorthagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjorthagen
Context triple: [Lilla Värtan, nearbyDistrict, Hjorthagen]
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Ferkingstad
    Ferkingstad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway, known for its fishing heritage and scenic North Sea shoreline.
  • C. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Häggvik
    Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
  • 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: Hjorthagen
Triple: [Lilla Värtan, nearbyDistrict, Hjorthagen]
Generated description
Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hjorthagen
Target entity description: Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Ferkingstad
    Ferkingstad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway, known for its fishing heritage and scenic North Sea shoreline.
  • C. Bruhagen
    Bruhagen is a village and administrative center located on the island of Averøya in Møre og Romsdal county, Norway.
  • D. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • E. Häggvik
    Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa559608190aa8d02b1547b8f97 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81bfb44481909f67d726dacec37d completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be842c58a481909a0bd1d608a59d88 completed March 21, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_69be848b0df88190aba28a258d8a706e completed March 21, 2026, 11:44 a.m.
Created at: March 20, 2026, 1:29 p.m.