Triple

T5238902
Position Surface form Disambiguated ID Type / Status
Subject Haga district E118290 entity
Predicate hasNameInLanguage P15 FINISHED
Object Haga (Swedish)
Haga (Swedish) is the name of a historic and picturesque district in Gothenburg, Sweden, known for its well-preserved wooden houses, cobbled streets, and vibrant café culture.
 E505658 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: Haga (Swedish) | Statement: [Haga district, hasNameInLanguage, Haga (Swedish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haga (Swedish)
Context triple: [Haga district, hasNameInLanguage, Haga (Swedish)]
  • A. Haga Södra
    Haga Södra is a southern district of the Haga area in Stockholm, Sweden, known for its proximity to central city streets and parklands.
  • B. Hohola
    Hohola is a residential suburb and local area within Port Moresby, the capital city of Papua New Guinea.
  • C. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • D. Hansson
    Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Fårö Gutnish
    Fårö Gutnish is a regional variety of the Gutnish language traditionally spoken on the island of Fårö off the coast of Gotland, 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: Haga (Swedish)
Triple: [Haga district, hasNameInLanguage, Haga (Swedish)]
Generated description
Haga (Swedish) is the name of a historic and picturesque district in Gothenburg, Sweden, known for its well-preserved wooden houses, cobbled streets, and vibrant café culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haga (Swedish)
Target entity description: Haga (Swedish) is the name of a historic and picturesque district in Gothenburg, Sweden, known for its well-preserved wooden houses, cobbled streets, and vibrant café culture.
  • A. Haga Södra
    Haga Södra is a southern district of the Haga area in Stockholm, Sweden, known for its proximity to central city streets and parklands.
  • B. Hohola
    Hohola is a residential suburb and local area within Port Moresby, the capital city of Papua New Guinea.
  • C. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • D. Hansson
    Hansson is a common Swedish surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Fårö Gutnish
    Fårö Gutnish is a regional variety of the Gutnish language traditionally spoken on the island of Fårö off the coast of Gotland, 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b290b88819095bc99c234260d25 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef823afd88190a3a41e7fff09d449 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef933c4008190bea3a5a7e5de17e6 completed March 21, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69bef9a600908190bdaff60b7a514538 completed March 21, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:49 p.m.