Triple

T4288069
Position Surface form Disambiguated ID Type / Status
Subject Lincoln railway station E97318 entity
Predicate hasServiceTo P6787 FINISHED
Object Spalding E89064 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: Spalding | Statement: [Lincoln railway station, hasServiceTo, Spalding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spalding
Context triple: [Lincoln railway station, hasServiceTo, Spalding]
  • A. Spalding chosen
    Spalding is a market town in the South Holland district of Lincolnshire, England, historically known for its bulb-growing and flower industry.
  • B. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • C. Wilton
    Wilton is a small New Hampshire town known for its rural character, historic mill village, and location along the Souhegan River.
  • D. Wilton
    Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
  • E. Trowbridge
    Trowbridge is a market town in Wiltshire, England, known as the administrative centre of the county.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505ef9fc81909c73e64bf77052ce completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72bec388190b03048507e2e6858 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.