Triple

T69445
Position Surface form Disambiguated ID Type / Status
Subject Central Lowlands of Scotland E1388 entity
Predicate contains P35 FINISHED
Object Edinburgh E16616 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: Edinburgh | Statement: [Central Lowlands of Scotland, contains, Edinburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edinburgh
Context triple: [Central Lowlands of Scotland, contains, Edinburgh]
  • A. Edinburgh chosen
    Edinburgh is the historic and cultural heart of Scotland, renowned for its medieval Old Town, elegant Georgian New Town, and world-famous arts festivals.
  • B. Glasgow
    Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
  • C. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • D. St Andrews
    St Andrews is a historic coastal town in eastern Scotland renowned for its ancient university and status as the "home of golf."
  • E. Fife
    Fife is a historic council area and peninsula on Scotland’s east coast, known for its coastal towns, medieval heritage, and the university city of St Andrews.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f045d38819088f5f71e39fa1ee7 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305dff8b88190b82db3adf474b271 completed Feb. 28, 2026, 3:12 p.m.
Created at: Feb. 28, 2026, 2:03 a.m.