Triple

T10724875
Position Surface form Disambiguated ID Type / Status
Subject Coastal Empire region E252914 entity
Predicate hasMajorCity P316 FINISHED
Object Port Wentworth, Georgia E156724 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: Port Wentworth, Georgia | Statement: [Coastal Empire region, hasMajorCity, Port Wentworth, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Wentworth, Georgia
Context triple: [Coastal Empire region, hasMajorCity, Port Wentworth, Georgia]
  • A. Port Wentworth, Georgia chosen
    Port Wentworth, Georgia is a small industrial and residential city in Chatham County that forms part of the greater Savannah area near the Georgia coast.
  • B. Union Point, Georgia
    Union Point, Georgia is a small historic city in Greene County known for its railroad heritage and preserved 19th-century architecture.
  • C. Darien, Georgia
    Darien, Georgia is a historic coastal city in McIntosh County known for its shrimping industry and scenic marshlands along the Atlantic coast.
  • D. Folkston, Georgia
    Folkston, Georgia is a small city in southeastern Georgia known as a gateway to the Okefenokee Swamp and a popular spot for train watching.
  • E. Vidette, Georgia
    Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d473cfc8190b0ea6dbec14ee070 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5568489c81908a902867feffdb4f completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.