Triple

T13570702
Position Surface form Disambiguated ID Type / Status
Subject Kent Coast Line E324151 entity
Predicate connectsTown P845 FINISHED
Object Minster E212158 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: Minster | Statement: [Kent Coast Line, connectsTown, Minster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minster
Context triple: [Kent Coast Line, connectsTown, Minster]
  • A. Minster chosen
    Minster is a coastal town and civil parish on the Isle of Sheppey in Kent, England, known for its historic abbey and seaside character.
  • B. Minster
    Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
  • C. Minster
    Minster is a small village in western Ohio known for its strong German heritage and annual Oktoberfest celebration.
  • D. Wimborne Minster
    Wimborne Minster is a historic market town in Dorset, England, noted for its medieval minster church and traditional English character.
  • E. Whitchurch
    Whitchurch is a historic market town in northern Shropshire, England, known for its medieval origins and role as a local commercial and agricultural center.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb61a40819099a62f65a68dff7b completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.