Triple

T6879312
Position Surface form Disambiguated ID Type / Status
Subject Samland Peninsula E158749 entity
Predicate hasHistoricalName P2834 FINISHED
Object Sambia
Sambia is a historical region on the Baltic Sea coast, now part of Russia’s Kaliningrad Oblast, known for its amber deposits and former role within East Prussia.
 E625526 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: Sambia | Statement: [Samland Peninsula, hasHistoricalName, Sambia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sambia
Context triple: [Samland Peninsula, hasHistoricalName, Sambia]
  • A. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • B. Nuba
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • D. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • E. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • 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: Sambia
Triple: [Samland Peninsula, hasHistoricalName, Sambia]
Generated description
Sambia is a historical region on the Baltic Sea coast, now part of Russia’s Kaliningrad Oblast, known for its amber deposits and former role within East Prussia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sambia
Target entity description: Sambia is a historical region on the Baltic Sea coast, now part of Russia’s Kaliningrad Oblast, known for its amber deposits and former role within East Prussia.
  • A. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • B. Nuba
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • D. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • E. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e60f94819086315b1dd2ea7a3e completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c2b81881909bd13df0d6028cc6 completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c743d4b12081909f142efacca0bedb completed March 28, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7445fbd488190938ec3dd59cbeb2c completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:22 p.m.