Triple

T11263351
Position Surface form Disambiguated ID Type / Status
Subject Carson E266619 entity
Predicate borderedBy P224 FINISHED
Object Wilmington
Wilmington is a coastal port city in Southern California’s Los Angeles Harbor area, known for its extensive industrial waterfront and role in the region’s shipping and logistics.
 E364644 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: Wilmington | Statement: [Carson, borderedBy, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilmington
Context triple: [Carson, borderedBy, Wilmington]
  • A. Wilmington
    Wilmington is a historic port city in southeastern North Carolina known for its riverfront, nearby Atlantic beaches, and well-preserved downtown district.
  • B. Wilmington
    Wilmington is a small settlement located within the Parish of St. Thomas in the East in eastern Jamaica.
  • C. Wilmington
    Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
  • D. Wilmington
    Wilmington is a village and civil parish in the Dartford district of Kent, England, situated near the town of Swanley.
  • E. Wilmington
    Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
  • 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: Wilmington
Triple: [Carson, borderedBy, Wilmington]
Generated description
Wilmington is a coastal port city in Southern California’s Los Angeles Harbor area, known for its extensive industrial waterfront and role in the region’s shipping and logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilmington
Target entity description: Wilmington is a coastal port city in Southern California’s Los Angeles Harbor area, known for its extensive industrial waterfront and role in the region’s shipping and logistics.
  • A. Wilmington chosen
    Wilmington is a historic harbor-area neighborhood in the city of Los Angeles, California, known for its proximity to the Port of Los Angeles and its industrial and maritime character.
  • B. Wilmington
    Wilmington is a historic port city in southeastern North Carolina known for its riverfront, nearby Atlantic beaches, and well-preserved downtown district.
  • C. Wilmington
    Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
  • D. Wilmington
    Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
  • E. Wilmington
    Wilmington is a village and civil parish in the Dartford district of Kent, England, situated near the town of Swanley.
  • F. None of above.

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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94d56048190bf808e1bc2188714 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccba233481909f00ebe2237c4f0c completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.