Triple

T17064574
Position Surface form Disambiguated ID Type / Status
Subject North Wilmington station E414049 entity
Predicate municipality P852 FINISHED
Object Wilmington E87927 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 Wilmington station, municipality, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington
Context triple: [North Wilmington station, municipality, Wilmington]
  • A. Wilmington chosen
    Wilmington is a suburban town in northeastern Massachusetts, United States, located within the Greater Boston area.
  • B. Wilmington
    Wilmington is a village and civil parish in the Dartford district of Kent, England, situated near the town of Swanley.
  • C. 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.
  • D. Wilmington
    Wilmington is the largest city in the U.S. state of Delaware, known as a regional financial and corporate hub.
  • 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.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db806de48190a9ce68b40fc77a74 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014823d0a8819095491aef9b258971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:34 a.m.