Triple

T7405449
Position Surface form Disambiguated ID Type / Status
Subject Tasiwit E170857 entity
Predicate closelyRelatedTo P37 FINISHED
Object Sokna
Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
E691171 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: Sokna | Statement: [Tasiwit, closelyRelatedTo, Sokna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokna
Context triple: [Tasiwit, closelyRelatedTo, Sokna]
  • A. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • B. Slemdal
    Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
  • C. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • D. Sandnes
    Sandnes is a city in southwestern Norway, near Stavanger, known for its proximity to fjords and outdoor recreation areas.
  • E. Skien
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • 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: Sokna
Triple: [Tasiwit, closelyRelatedTo, Sokna]
Generated description
Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sokna
Target entity description: Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
  • A. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • B. Slemdal
    Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
  • C. Sokndal
    Sokndal is a coastal municipality in Rogaland county in southwestern Norway, known for its rugged coastline, historic settlements, and distinctive geological landscapes.
  • D. Sandnes
    Sandnes is a city in southwestern Norway, near Stavanger, known for its proximity to fjords and outdoor recreation areas.
  • E. Skien
    Skien is a historic city in southern Norway known as the birthplace of playwright Henrik Ibsen and as a regional commercial and industrial center.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f271f1d481909a46d50b13b51a62 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
NEDg Description generation batch_69c96cee32588190b1a706cf08442564 completed March 29, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69c96d3e59388190a2b0857047a871c2 completed March 29, 2026, 6:19 p.m.
Created at: March 27, 2026, 3:10 p.m.