Triple

T259143
Position Surface form Disambiguated ID Type / Status
Subject Lancashire E5501 entity
Predicate hasMajorTown P316 FINISHED
Object Nelson
Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
E33729 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: Nelson | Statement: [Lancashire, hasMajorTown, Nelson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelson
Context triple: [Lancashire, hasMajorTown, Nelson]
  • A. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • D. Anthony van Diemen
    Anthony van Diemen was a 17th-century Dutch colonial administrator best known for expanding Dutch influence in Asia and for lending his name to Van Diemen’s Land, now Tasmania.
  • E. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • 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: Nelson
Triple: [Lancashire, hasMajorTown, Nelson]
Generated description
Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nelson
Target entity description: Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • A. Nelson
    Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • D. Anthony van Diemen
    Anthony van Diemen was a 17th-century Dutch colonial administrator best known for expanding Dutch influence in Asia and for lending his name to Van Diemen’s Land, now Tasmania.
  • E. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • F. None of above. chosen

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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3837622cc819096df20695413b5c0 completed March 1, 2026, 12:08 a.m.
NEDg Description generation batch_69a38470215c8190b6541ab567ca5721 completed March 1, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69a384cbfbec81909a3ae67f51dadfb3 completed March 1, 2026, 12:14 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.