Triple

T5634503
Position Surface form Disambiguated ID Type / Status
Subject Delaware at-large congressional district E147912 entity
Predicate hasLargestCity P235 FINISHED
Object Wilmington
Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
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: [Delaware at-large congressional district, hasLargestCity, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington
Context triple: [Delaware at-large congressional district, hasLargestCity, 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 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.
  • 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: [Delaware at-large congressional district, hasLargestCity, Wilmington]
Generated description
Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
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, known as a regional financial and corporate hub.
  • 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 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.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226118548190877793dadf6cacba completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a14696fc819084b668a105118ac2 completed March 23, 2026, 2:11 a.m.
NEDg Description generation batch_69c0a1faf7d48190ad2d5f43ef37da82 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2e17cd88190a54f5166fe5c654a completed March 23, 2026, 2:18 a.m.
Created at: March 22, 2026, 3:41 p.m.