Triple

T4937200
Position Surface form Disambiguated ID Type / Status
Subject Luzerne County E110840 entity
Predicate containsBorough P300 FINISHED
Object Kingston
Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
 E482941 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: Kingston | Statement: [Luzerne County, containsBorough, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingston
Context triple: [Luzerne County, containsBorough, Kingston]
  • A. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • B. Kingston
    Kingston is a common English surname of Anglo-Saxon origin, historically associated with various towns named Kingston in England.
  • C. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • D. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • E. Kingston
    Kingston is a small unincorporated community and historic mining town located in central Nevada, United States.
  • 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: Kingston
Triple: [Luzerne County, containsBorough, Kingston]
Generated description
Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingston
Target entity description: Kingston is a borough in northeastern Pennsylvania, United States, situated along the Susquehanna River near the city of Wilkes-Barre.
  • A. Kingston
    Kingston is a small city in eastern Tennessee that serves as the county seat of Roane County and lies within the greater Knoxville metropolitan area.
  • B. Kingston
    Kingston is a historic city in New York State known for being one of the state’s early capitals and a key cultural and economic center in the Hudson Valley region.
  • C. Kingston
    Kingston is a historic Canadian city in eastern Ontario, located where the St. Lawrence River meets Lake Ontario, known for its limestone architecture and role as a former capital of the Province of Canada.
  • D. Kingston
    Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
  • E. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c950388190a5a1ed856c4f0830 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8344b9208190a3288d519cfbbbc6 completed March 21, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69be83b2c5648190bc77cfb970de938a completed March 21, 2026, 11:40 a.m.
Created at: March 20, 2026, 1:31 p.m.