Triple

T15948144
Position Surface form Disambiguated ID Type / Status
Subject Hartwell Dam E386740 entity
Predicate locatedNearCity P3883 FINISHED
Object Hartwell, Georgia E821452 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: Hartwell, Georgia | Statement: [Hartwell Dam, locatedNearCity, Hartwell, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartwell, Georgia
Context triple: [Hartwell Dam, locatedNearCity, Hartwell, Georgia]
  • A. Hartwell, Georgia chosen
    Hartwell, Georgia is a small city in northeastern Georgia that serves as a gateway to outdoor recreation and tourism on Lake Hartwell.
  • B. Hollingsworth, Georgia
    Hollingsworth, Georgia is a small unincorporated rural community located in Banks County in the northeastern part of the state.
  • C. Hapeville, Georgia
    Hapeville, Georgia is a small city in the Atlanta metropolitan area known for its proximity to Hartsfield–Jackson Atlanta International Airport and its historic downtown.
  • D. Colquitt, Georgia
    Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
  • E. Hoschton, Georgia
    Hoschton, Georgia is a small city in Jackson County known for its suburban-rural character and location within the rapidly growing northeastern region of the Atlanta metropolitan area.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d982788819082fcdd8ab5c80513 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:53 a.m.