Triple

T16338589
Position Surface form Disambiguated ID Type / Status
Subject Western Derby E396737 entity
Predicate shortName P43 FINISHED
Object Derby
Derby is a city in Derbyshire, England, known for its industrial heritage, particularly in rail and aerospace engineering.
 E53520 NE FINISHED

How this triple was built (4 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: [Western Derby, shortName, Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Derby
Context triple: [Western Derby, shortName, Derby]
  • A. Derby
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • B. Derby
    Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • C. 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.
  • D. Derby
    Derby is a surname of English origin associated with notable historical figures such as American merchant Elias Hasket Derby.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Derby
Triple: [Western Derby, shortName, Derby]
Generated description
Derby is a city in Derbyshire, England, known for its industrial heritage, particularly in rail and aerospace engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Derby
Target entity description: Derby is a city in Derbyshire, England, known for its industrial heritage, particularly in rail and aerospace engineering.
  • A. Derby chosen
    Derby is a historic city in Derbyshire, England, known for its industrial heritage, particularly in railways and engineering.
  • B. Derby
    Derby is a neighborhood within the Brazilian city of Recife, known for its central location and urban character.
  • C. 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.
  • 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
    Derby is a surname of English origin associated with notable historical figures such as American merchant Elias Hasket Derby.
  • F. None of above.

Provenance (5 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e6338081908aa03ee3dcbe5f70 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261b31c08190908a72bff20871be completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0028275f008190abd10f186bdf9fd2 completed May 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0028e71de88190b48e33f2116e78dc completed May 10, 2026, 6:42 a.m.
Created at: April 10, 2026, 5:07 a.m.