Triple

T5837909
Position Surface form Disambiguated ID Type / Status
Subject Gjøa E129518 entity
Predicate namedAfter P63 FINISHED
Object Gjøa (female name)
Gjøa is a rare Scandinavian female given name, best known from its association with Roald Amundsen’s polar exploration ship Gjøa.
 E551988 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: Gjøa (female name) | Statement: [Gjøa, namedAfter, Gjøa (female name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gjøa (female name)
Context triple: [Gjøa, namedAfter, Gjøa (female name)]
  • A. Porsanger Kven
    Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
  • B. Marit
    Marit is a feminine given name commonly used in Scandinavian countries, particularly Norway and Sweden.
  • C. Marta (Scandinavian languages)
    Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Ledaal, Stavanger
    Ledaal in Stavanger is a historic manor house that served as a royal residence for the King of Norway and now functions as a museum and cultural venue.
  • 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: Gjøa (female name)
Triple: [Gjøa, namedAfter, Gjøa (female name)]
Generated description
Gjøa is a rare Scandinavian female given name, best known from its association with Roald Amundsen’s polar exploration ship Gjøa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gjøa (female name)
Target entity description: Gjøa is a rare Scandinavian female given name, best known from its association with Roald Amundsen’s polar exploration ship Gjøa.
  • A. Porsanger Kven
    Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
  • B. Marit
    Marit is a feminine given name commonly used in Scandinavian countries, particularly Norway and Sweden.
  • C. Marta (Scandinavian languages)
    Marta is the Scandinavian form of the female given name Martha, commonly used in countries such as Sweden, Norway, and Denmark.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Ledaal, Stavanger
    Ledaal in Stavanger is a historic manor house that served as a royal residence for the King of Norway and now functions as a museum and cultural venue.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19a6554819086cdae499f4d2247 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a5ce005c8190a7da8d337caa089c completed March 23, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0a62cadf481909007a2a16cd36dbf completed March 23, 2026, 2:32 a.m.
Created at: March 22, 2026, 3:54 p.m.