Triple

T15878611
Position Surface form Disambiguated ID Type / Status
Subject West Point Dam E385014 entity
Predicate locatedNear P294 FINISHED
Object West Point, Georgia E32086 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: West Point, Georgia | Statement: [West Point Dam, locatedNear, West Point, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Point, Georgia
Context triple: [West Point Dam, locatedNear, West Point, Georgia]
  • A. West Point, Georgia chosen
    West Point, Georgia is a small city in western Georgia along the Chattahoochee River, known historically as a textile mill town and now for hosting a major Kia Motors manufacturing plant.
  • 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. LaFayette, Georgia
    LaFayette, Georgia is a small city in the northwestern part of the state, serving as a local hub for government, commerce, and community life in the surrounding rural area.
  • D. Vidette, Georgia
    Vidette, Georgia is a small unincorporated rural community located in Burke County in the eastern part of the state.
  • E. Du Pont, Georgia
    Du Pont, Georgia is a small rural town in southern Georgia, United States, known for its historic ties to the region’s timber and railroad industries.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.