Triple

T17061764
Position Surface form Disambiguated ID Type / Status
Subject District of Delaware E413976 entity
Predicate city P40 FINISHED
Object Wilmington
Wilmington is the largest city in the U.S. state of Delaware and a major regional center for finance, commerce, and industry.
E551534 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: [District of Delaware, city, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington
Context triple: [District of Delaware, city, 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 small village located in Will County, Illinois, known for its historic downtown and proximity to the Kankakee River.
  • 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. 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: [District of Delaware, city, Wilmington]
Generated description
Wilmington is the largest city in the U.S. state of Delaware and a major regional center for finance, commerce, and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilmington
Target entity description: Wilmington is the largest city in the U.S. state of Delaware and a major regional center for finance, commerce, and industry.
  • A. Wilmington chosen
    Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
  • 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 a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
  • D. Wilmington
    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.
  • E. Wilmington
    Wilmington is a small village located in Will County, Illinois, known for its historic downtown and proximity to the Kankakee River.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7dea7481909e3e0bc836d27336 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed7f6fc81908d27a6581fcfa265 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012f6e3ba4819081aa185f5e968370 completed May 11, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a012fe91b7c8190a420bdd22f487f29 completed May 11, 2026, 1:24 a.m.
Created at: April 10, 2026, 5:34 a.m.