Triple

T11485232
Position Surface form Disambiguated ID Type / Status
Subject North Carolina Colony E272256 entity
Predicate hadPort P2745 FINISHED
Object Wilmington E39070 NE FINISHED

How this triple was built (2 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: [North Carolina Colony, hadPort, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington
Context triple: [North Carolina Colony, hadPort, Wilmington]
  • A. Wilmington chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1ea00c8190b42cdc13a6bc61c3 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624b12c04819085cc5f7dd64283ca completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:36 p.m.