Triple

T4173606
Position Surface form Disambiguated ID Type / Status
Subject Argyll and Bute E86423 entity
Predicate containsIsland P970 FINISHED
Object Coll E15004 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: Coll | Statement: [Argyll and Bute, containsIsland, Coll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coll
Context triple: [Argyll and Bute, containsIsland, Coll]
  • A. Coll chosen
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • B. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • C. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • D. COLL
    COLL is the standard abbreviation for the Division of Colloid and Surface Chemistry, a professional body focused on research and advancement in colloid and surface science.
  • E. Kick
    Kick was the affectionate nickname of Kathleen Kennedy Cavendish, the socially prominent and charismatic sister of U.S. President John F. Kennedy.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e7d30081909774a3e2a2132d6a completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.