Triple

T22868346
Position Surface form Disambiguated ID Type / Status
Subject Aghvank E567118 entity
Predicate hasAlternativeName P39 FINISHED
Object Arran NE NERFINISHED

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: Arran | Statement: [Aghvank, hasAlternativeName, Arran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arran
Context triple: [Aghvank, hasAlternativeName, Arran]
  • A. Arran chosen
    Arran is a historical region in the South Caucasus, largely corresponding to parts of modern-day Azerbaijan between the Kura and Aras rivers.
  • B. Arran
    Arran is a Scottish island in the Firth of Clyde known for its rugged mountains, scenic coastline, and rich archaeological and cultural heritage.
  • C. Arran
    Arran is a small village located in eastern Saskatchewan, Canada, near the Manitoba border.
  • D. Isle of Arran
    The Isle of Arran is a large Scottish island in the Firth of Clyde, famed for its dramatic mountains, coastal scenery, prehistoric sites, and whisky distillery.
  • E. Isle of Arran
    The Isle of Arran is a large Scottish island in the Firth of Clyde, famed for its dramatic mountains, diverse wildlife, and mix of Highland and Lowland landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f02c8b8819095cbee626f935fed completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.