Triple

T7415755
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia–Camden–Wilmington metropolitan statistical area E171125 entity
Predicate includesPrincipalCity P37693 FINISHED
Object Wilmington E551534 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: [Philadelphia–Camden–Wilmington metropolitan statistical area, includesPrincipalCity, Wilmington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilmington
Context triple: [Philadelphia–Camden–Wilmington metropolitan statistical area, includesPrincipalCity, 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 chosen
    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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c643248190a387abba2f482b25 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a201e73081908cbe64f351e36f77 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:11 p.m.