Triple

T4466086
Position Surface form Disambiguated ID Type / Status
Subject electoral district of Cessnock E98380 entity
Predicate contains P35 FINISHED
Object Abermain
Abermain is a town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
 E442342 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: Abermain | Statement: [electoral district of Cessnock, contains, Abermain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abermain
Context triple: [electoral district of Cessnock, contains, Abermain]
  • A. Rawreth
    Rawreth is a small rural village and civil parish in Essex, England, known for its agricultural character and proximity to the town of Rayleigh.
  • B. Akenham
    Akenham is a small rural village and civil parish located near Ipswich in the county of Suffolk, England.
  • C. Hereford
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • D. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • E. Ashby
    Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
  • 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: Abermain
Triple: [electoral district of Cessnock, contains, Abermain]
Generated description
Abermain is a 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: Abermain
Target entity description: Abermain is a town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
  • A. Rawreth
    Rawreth is a small rural village and civil parish in Essex, England, known for its agricultural character and proximity to the town of Rayleigh.
  • B. Akenham
    Akenham is a small rural village and civil parish located near Ipswich in the county of Suffolk, England.
  • C. Hereford
    Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
  • D. Hereford
    Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
  • E. Ashby
    Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356991a588190be2f95fd957d7f99 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62860151c8190b43465537b154f00 completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62c3bf15c8190826f93c4c43733e6 completed March 15, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69b62cbaef8c8190b5d89a607c76eaf7 completed March 15, 2026, 3:51 a.m.
Created at: March 12, 2026, 11:34 p.m.