Triple

T11528610
Position Surface form Disambiguated ID Type / Status
Subject Poulsbo E273360 entity
Predicate nickname P55 FINISHED
Object Little Norway
Little Norway is the nickname for Poulsbo, a Washington State town known for its strong Norwegian heritage and Scandinavian-style architecture.
 E931985 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: Little Norway | Statement: [Poulsbo, nickname, Little Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Norway
Context triple: [Poulsbo, nickname, Little Norway]
  • A. Little Norway
    Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
  • B. Petitenget
    Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
  • C. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • D. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • E. Hjelmeland
    Hjelmeland is a rural municipality in southwestern Norway known for its fjord landscapes, agriculture, and traditional fruit farming.
  • 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: Little Norway
Triple: [Poulsbo, nickname, Little Norway]
Generated description
Little Norway is the nickname for Poulsbo, a Washington State town known for its strong Norwegian heritage and Scandinavian-style architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Norway
Target entity description: Little Norway is the nickname for Poulsbo, a Washington State town known for its strong Norwegian heritage and Scandinavian-style architecture.
  • A. Little Norway
    Little Norway is a nickname for Petersburg, Alaska, a coastal town known for its strong Norwegian heritage and fishing industry.
  • B. Petitenget
    Petitenget is a trendy coastal neighborhood in Bali, Indonesia, known for its upscale beach clubs, boutique hotels, and vibrant dining scene near Seminyak.
  • C. Helleland
    Helleland is a small village in Rogaland county, Norway, situated within the municipality of Eigersund.
  • D. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • E. Hjelmeland
    Hjelmeland is a rural municipality in southwestern Norway known for its fjord landscapes, agriculture, and traditional fruit farming.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d883972b10819093bd09cf8406671c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6855270b08190bdb175a8dede176e completed April 20, 2026, 7:58 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7d683448190b7557bffd92b3ad6 completed April 20, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:37 p.m.