Triple

T16243724
Position Surface form Disambiguated ID Type / Status
Subject Porsanger E394315 entity
Predicate hasKvenName P120953 FINISHED
Object Porsanki
Porsanki is the Kven-language name for Porsanger, a municipality in Troms og Finnmark county in northern Norway.
E1202010 NE FINISHED

How this triple was built (5 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: Porsanki | Statement: [Porsanger, hasKvenName, Porsanki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porsanki
Context triple: [Porsanger, hasKvenName, Porsanki]
  • A. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • B. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • C. Korthi
    Korthi is a coastal settlement on the Greek island of Andros, known for its traditional Cycladic character and proximity to the bay of Ormos Korthiou.
  • D. Kuduru
    Kuduru is a community located within the Bwari Area Council in Nigeria’s Federal Capital Territory.
  • E. Sattenapalle
    Sattenapalle is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center within the Guntur region.
  • 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: Porsanki
Triple: [Porsanger, hasKvenName, Porsanki]
Generated description
Porsanki is the Kven-language name for Porsanger, a municipality in Troms og Finnmark county in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porsanki
Target entity description: Porsanki is the Kven-language name for Porsanger, a municipality in Troms og Finnmark county in northern Norway.
  • A. Porul
    Porul is the second section of the ancient Tamil classic Tirukkural, focusing on ethics, governance, politics, and social conduct.
  • B. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • C. Korthi
    Korthi is a coastal settlement on the Greek island of Andros, known for its traditional Cycladic character and proximity to the bay of Ormos Korthiou.
  • D. Kuduru
    Kuduru is a community located within the Bwari Area Council in Nigeria’s Federal Capital Territory.
  • E. Sattenapalle
    Sattenapalle is a town in the Indian state of Andhra Pradesh, known as a local commercial and administrative center within the Guntur region.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKvenName
Context triple: [Porsanger, hasKvenName, Porsanki]
  • A. hasNameInKven chosen
    Indicates that an entity has a specific name expressed in the Kven language.
  • B. hasOfficialNameInKven
    Indicates that an entity has an official, formally recognized name expressed in the Kven language.
  • C. hasKashubianName
    Indicates that an entity is associated with a specific name in the Kashubian language.
  • D. hasNameInNorwegian
    Indicates that an entity is associated with a specific name expressed in the Norwegian language.
  • E. hasOkinawanName
    Indicates that an entity possesses a specific name in the Okinawan language.
  • F. None of above.

Provenance (6 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560060c8190ace4f4c0bd0d886d completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edf64a88190a9dd0c591c742977 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00108174ac8190b3c421b115b7190e completed May 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0010f40d6081909927e8281ab17580 completed May 10, 2026, 5 a.m.
PD Predicate disambiguation batch_69e219ee6f6481909663b388dc99770a completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:04 a.m.