Triple

T1553779
Position Surface form Disambiguated ID Type / Status
Subject Kenneth MacAlpin E33153 entity
Predicate monarchOf P765 FINISHED
Object Alba E175945 NE FINISHED

How this triple was built (2 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, monarchOf, Alba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba
Context triple: [Kenneth MacAlpin, monarchOf, Alba]
  • A. Alba chosen
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • B. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • C. 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.
  • D. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • E. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad370b9b4c819087d04abead99e81e completed March 8, 2026, 8:44 a.m.
Created at: March 4, 2026, 7:27 p.m.