Triple

T13193829
Position Surface form Disambiguated ID Type / Status
Subject Conway, South Carolina E314059 entity
Predicate wasOriginallyNamed P65 FINISHED
Object Kingston
Kingston is the former name of the city now known as Conway in South Carolina.
 E1027660 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: [Conway, South Carolina, wasOriginallyNamed, Kingston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingston
Context triple: [Conway, South Carolina, wasOriginallyNamed, Kingston]
  • A. 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.
  • B. Kingston
    Kingston is the small historic administrative center and main settlement of Norfolk Island, an external territory of Australia in the Pacific Ocean.
  • C. Kingston
    Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
  • D. Kingston
    Kingston is a small settlement in New Zealand’s South Island, located at the southern end of Lake Wakatipu and known as a gateway to the Queenstown-Lakes district.
  • E. Kingston
    Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
  • 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: [Conway, South Carolina, wasOriginallyNamed, Kingston]
Generated description
Kingston is the former name of the city now known as Conway in South Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingston
Target entity description: Kingston is the former name of the city now known as Conway in South Carolina.
  • A. 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.
  • B. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • C. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • D. Kingston
    Kingston is a town in south-west London, England, known as a major retail and commercial centre on the River Thames.
  • E. Kingston
    Kingston is a village in South Kingstown, Rhode Island, best known as the home of the University of Rhode Island.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6158e4819082c8ad75b4dfdd90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f600f7a08190bcdd80d5563517c3 completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6fa2e76fc819095f9a7e83189283c completed May 3, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6fb52f82c81909dcec658c7f58ec7 completed May 3, 2026, 7:37 a.m.
Created at: April 9, 2026, 9:16 p.m.