Triple

T8909479
Position Surface form Disambiguated ID Type / Status
Subject Deal railway station E212143 entity
Predicate hasServiceTo P6787 FINISHED
Object Minster E361384 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: [Deal railway station, hasServiceTo, Minster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minster
Context triple: [Deal railway station, hasServiceTo, Minster]
  • A. Minster
    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 chosen
    Minster is a village and civil parish in the Thanet district of Kent, England, known for its historic abbey and traditional rural character.
  • C. Wimborne Minster
    Wimborne Minster is a historic market town in Dorset, England, noted for its medieval minster church and traditional English character.
  • D. 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.
  • E. Sancroft
    Sancroft is an English surname most notably associated with William Sancroft, the 17th-century Archbishop of Canterbury.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc65207bbc8190be181555b9564797 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba36f8cc8190ab57ddc99b7219d1 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.