Triple

T7480438
Position Surface form Disambiguated ID Type / Status
Subject Stanly County E176741 entity
Predicate hasTown P847 FINISHED
Object Badin
Badin is a small historic town in central North Carolina, known for its origins as a company town for aluminum production near Badin Lake.
 E666663 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: Badin | Statement: [Stanly County, hasTown, Badin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badin
Context triple: [Stanly County, hasTown, Badin]
  • A. Badin District
    Badin District is an administrative district in the Sindh province of Pakistan, known for its coastal location along the Arabian Sea and its agriculture-based economy.
  • B. Eastland
    Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
  • C. Tell City
    Tell City is a small riverside community in southern Indiana known for its Swiss-German heritage and historic furniture-making industry.
  • D. Cudahy
    Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • E. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • 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: Badin
Triple: [Stanly County, hasTown, Badin]
Generated description
Badin is a small historic town in central North Carolina, known for its origins as a company town for aluminum production near Badin Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badin
Target entity description: Badin is a small historic town in central North Carolina, known for its origins as a company town for aluminum production near Badin Lake.
  • A. Badin District
    Badin District is an administrative district in the Sindh province of Pakistan, known for its coastal location along the Arabian Sea and its agriculture-based economy.
  • B. Eastland
    Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
  • C. Tell City
    Tell City is a small riverside community in southern Indiana known for its Swiss-German heritage and historic furniture-making industry.
  • D. Cudahy
    Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
  • E. Bayfield
    Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f532f4488190b6edaa96099c3b8f completed March 27, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83493f0988190b8c569d34bbe2817 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c835cf7a58819095ed79b84f935a84 completed March 28, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_69c8366b2fcc8190bd8b07a54a848721 completed March 28, 2026, 8:13 p.m.
Created at: March 27, 2026, 3:42 p.m.