Triple

T12261168
Position Surface form Disambiguated ID Type / Status
Subject Esaias Tegnér E292227 entity
Predicate notableWork P4 FINISHED
Object Svea
Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
 E968874 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: Svea | Statement: [Esaias Tegnér, notableWork, Svea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Svea
Context triple: [Esaias Tegnér, notableWork, Svea]
  • A. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • B. Westfália
    Westfália is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its strong German cultural heritage and agricultural economy.
  • C. Saksun
    Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
  • D. Liland
    Liland is a small village in Evenes Municipality in Nordland county, Norway, known for its scenic coastal setting in Northern Norway.
  • E. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • 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: Svea
Triple: [Esaias Tegnér, notableWork, Svea]
Generated description
Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Svea
Target entity description: Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • A. Nordis
    Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
  • B. Westfália
    Westfália is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its strong German cultural heritage and agricultural economy.
  • C. Saksun
    Saksun is a small, picturesque village in the Faroe Islands known for its turf-roofed houses, surrounding mountains, and a lagoon formed from a natural harbor.
  • D. Liland
    Liland is a small village in Evenes Municipality in Nordland county, Norway, known for its scenic coastal setting in Northern Norway.
  • E. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac1b5148190838b782848e3fa36 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bde9b0c81908df8207a8b6530af completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c99de9881909ef87b878ac346fc completed May 2, 2026, 2:39 p.m.
Created at: April 8, 2026, 9:52 p.m.