Triple

T1553765
Position Surface form Disambiguated ID Type / Status
Subject Kenneth MacAlpin E33153 entity
Predicate country P26 FINISHED
Object Alba
Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
 E175945 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: Alba | Statement: [Kenneth MacAlpin, country, Alba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alba
Context triple: [Kenneth MacAlpin, country, Alba]
  • A. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • B. ALBA
    ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
  • C. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • D. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • E. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • 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: Alba
Triple: [Kenneth MacAlpin, country, Alba]
Generated description
Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alba
Target entity description: Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • A. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • B. ALBA
    ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
  • C. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • D. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • E. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9086c96bc8190bed8b290fa16f21b completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a504a881909b01fc27e0b879e7 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31185d6c8190b833943c412d3f96 completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31d1f9648190b9da156484062608 completed March 8, 2026, 8:22 a.m.
Created at: March 4, 2026, 7:27 p.m.