Triple

T2788342
Position Surface form Disambiguated ID Type / Status
Subject Interstate 85 E61864 entity
Predicate servesCity P82 FINISHED
Object LaGrange, Georgia E30624 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: LaGrange, Georgia | Statement: [Interstate 85, servesCity, LaGrange, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LaGrange, Georgia
Context triple: [Interstate 85, servesCity, LaGrange, Georgia]
  • A. LaGrange
    LaGrange is a town in Dutchess County, New York, known as a suburban community in the Hudson Valley region.
  • B. LaGrange chosen
    LaGrange is a small city in western Georgia known for its historic downtown, proximity to West Point Lake, and role as an economic and cultural center for the surrounding region.
  • C. Greenville, Georgia
    Greenville, Georgia is a small city in west-central Georgia that serves as the administrative and civic center of Meriwether County.
  • D. Gainesville, Georgia
    Gainesville, Georgia is a historic city in northeastern Georgia that grew into a regional center for commerce and industry following its early development during the Georgia Gold Rush era.
  • E. Newnan, Georgia
    Newnan, Georgia is a historic city in west-central Georgia, known for its well-preserved antebellum architecture and role as a regional economic and cultural center.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6555ee08190b1ddd5446818f74e completed March 10, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:58 p.m.