Triple

T528220
Position Surface form Disambiguated ID Type / Status
Subject Scandinavium E10970 entity
Predicate locatedInDistrict P40 FINISHED
Object Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
 E67813 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: Heden | Statement: [Scandinavium, locatedInDistrict, Heden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heden
Context triple: [Scandinavium, locatedInDistrict, Heden]
  • A. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • B. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • C. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • 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: Heden
Triple: [Scandinavium, locatedInDistrict, Heden]
Generated description
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heden
Target entity description: Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • A. Heiden
    Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
  • B. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • C. Hollein
    Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
  • D. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • E. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d39b4c81909f265b3501b5ec1d completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5868d88190bb0b107fb820aafe completed March 1, 2026, 11:31 p.m.
NEDg Description generation batch_69a4cd16533c8190a9b63c13756e73ec completed March 1, 2026, 11:34 p.m.
NED2 Entity disambiguation (via description) batch_69a4cdc197208190b4b2fe04ca11fa83 completed March 1, 2026, 11:37 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.