Triple

T1018511
Position Surface form Disambiguated ID Type / Status
Subject North Charleston, South Carolina E21986 entity
Predicate hasNickname P39 FINISHED
Object North Chuck
North Chuck is a colloquial nickname for the city of North Charleston in South Carolina.
E211067 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: North Chuck | Statement: [North Charleston, South Carolina, hasNickname, North Chuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Chuck
Context triple: [North Charleston, South Carolina, hasNickname, North Chuck]
  • A. Mill Creek
    Mill Creek is a historically significant neighborhood in West Philadelphia known for its residential character and community-focused redevelopment efforts.
  • B. Spring Creek
    Spring Creek is a waterway and wetland area in Queens, New York City, that forms part of the larger Jamaica Bay ecosystem.
  • C. Buck Creek
    Buck Creek is a river in western Ohio that flows through the city of Springfield and is used for recreation, flood control, and local water management.
  • D. Sandburg Creek
    Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
  • E. Brush Creek
    Brush Creek is a small urban waterway running through Kansas City, Missouri, known for its scenic corridor alongside the Country Club Plaza and its history of flooding and subsequent flood-control improvements.
  • 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: North Chuck
Triple: [North Charleston, South Carolina, hasNickname, North Chuck]
Generated description
North Chuck is a colloquial nickname for the city of North Charleston in South Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: North Chuck
Target entity description: North Chuck is a colloquial nickname for the city of North Charleston in South Carolina.
  • A. Mill Creek
    Mill Creek is a historically significant neighborhood in West Philadelphia known for its residential character and community-focused redevelopment efforts.
  • B. Spring Creek
    Spring Creek is a waterway and wetland area in Queens, New York City, that forms part of the larger Jamaica Bay ecosystem.
  • C. Buck Creek
    Buck Creek is a river in western Ohio that flows through the city of Springfield and is used for recreation, flood control, and local water management.
  • D. Sandburg Creek
    Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
  • E. Brush Creek
    Brush Creek is a small urban waterway running through Kansas City, Missouri, known for its scenic corridor alongside the Country Club Plaza and its history of flooding and subsequent flood-control improvements.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab2f888819093d2b3e49b105802 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb330fe0819096ac927838b6ee2f completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adebb1d7748190b5cd33d163368eae completed March 8, 2026, 9:35 p.m.
Created at: March 1, 2026, 7:41 p.m.