Triple

T18456417
Position Surface form Disambiguated ID Type / Status
Subject Cessnock City E450912 entity
Predicate contains P35 FINISHED
Object Kearsley
Kearsley is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
 E1326134 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: Kearsley | Statement: [Cessnock City, contains, Kearsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kearsley
Context triple: [Cessnock City, contains, Kearsley]
  • A. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • B. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • C. Knaphill
    Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Styal
    Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
  • 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: Kearsley
Triple: [Cessnock City, contains, Kearsley]
Generated description
Kearsley is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kearsley
Target entity description: Kearsley is a small town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
  • A. Kearsley
    Kearsley is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage.
  • B. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • C. Knaphill
    Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Styal
    Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f20eb288190820e7be96bbbc416 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a043fc897408190ac2f6625ce23c93d completed May 13, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a044095d4b48190aeb30ecb37609da3 completed May 13, 2026, 9:12 a.m.
Created at: April 10, 2026, 11:31 a.m.