Triple

T4228809
Position Surface form Disambiguated ID Type / Status
Subject North Staffordshire Railway E94525 entity
Predicate servedTown P3936 FINISHED
Object Derby E53520 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: Derby | Statement: [North Staffordshire Railway, servedTown, Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby
Context triple: [North Staffordshire Railway, servedTown, Derby]
  • A. Derby
    Derby is a small coastal town in Western Australia's Kimberley region, known as a gateway to the outback and for its large tidal variations and proximity to the Buccaneer Archipelago.
  • B. Derby chosen
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • C. Derby
    Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • D. Derby
    Derby is a small historic city in Connecticut known for its location at the confluence of the Housatonic and Naugatuck Rivers and its industrial heritage.
  • E. Derby City
    Derby City is a popular nickname for Louisville, Kentucky, reflecting the city's fame as home of the Kentucky Derby horse race.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e51817c8190bff50f2c3b5deea0 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.