Triple

T17316000
Position Surface form Disambiguated ID Type / Status
Subject Liverpool to Manchester Line E420424 entity
Predicate passesThrough P225 FINISHED
Object St Helens
St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
E67549 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: St Helens | Statement: [Liverpool to Manchester Line, passesThrough, St Helens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Helens
Context triple: [Liverpool to Manchester Line, passesThrough, St Helens]
  • A. St Helens coalfield
    The St Helens coalfield is a historic coal-mining district in and around St Helens in northwest England that played a key role in the region’s early industrial development.
  • B. Leigh
    Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
  • C. Leigh
    Leigh is a parliamentary constituency in Greater Manchester, England, historically represented in the UK House of Commons.
  • D. Leigh
    Leigh is a village and civil parish in the Malvern Hills district of Worcestershire, England.
  • E. Holness
    Holness is the surname of Andrew Holness, the Jamaican politician who has served as Prime Minister of Jamaica.
  • 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: St Helens
Triple: [Liverpool to Manchester Line, passesThrough, St Helens]
Generated description
St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: St Helens
Target entity description: St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
  • A. St Helens chosen
    St Helens is a large industrial town in North West England historically known for its coal mining and glassmaking industries.
  • B. St Helens
    St Helens is a coastal town on the Isle of Wight in England, known for its village green, historic church ruins, and proximity to popular seaside areas.
  • C. St Helens coalfield
    The St Helens coalfield is a historic coal-mining district in and around St Helens in northwest England that played a key role in the region’s early industrial development.
  • D. Leigh
    Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
  • E. Leigh
    Leigh is a parliamentary constituency in Greater Manchester, England, historically represented in the UK House of Commons.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399d2fcc81909916302f141e236b completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e8cfd88190a105b778e5b9e864 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0181c89e3081909b3acea495bb4d7f completed May 11, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_6a018291cce48190897f0d0bcbae4d71 completed May 11, 2026, 7:17 a.m.
Created at: April 10, 2026, 5:43 a.m.