Triple

T9265057
Position Surface form Disambiguated ID Type / Status
Subject Little Lagoon E222676 entity
Predicate partOf P40 FINISHED
Object Baldwin County E43292 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: Baldwin County | Statement: [Little Lagoon, partOf, Baldwin County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baldwin County
Context triple: [Little Lagoon, partOf, Baldwin County]
  • A. Baldwin County
    Baldwin County is a central Georgia county whose seat is the historic city of Milledgeville, a former state capital.
  • B. Bay County
    Bay County is a coastal county in the Florida Panhandle known for its Gulf of Mexico beaches and the city of Panama City.
  • C. Baldwin County, Alabama chosen
    Baldwin County, Alabama is a large Gulf Coast county known for its beaches, bays, and fast-growing communities across Mobile Bay from the city of Mobile.
  • D. Liberty County
    Liberty County is a coastal county in southeastern Georgia known for its historic communities, military presence at Fort Stewart, and proximity to the Atlantic shoreline.
  • E. Liberty County
    Liberty County is a county in southeastern Texas that forms part of the Greater Houston metropolitan region.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0748a1f481909d9d876692cefccc completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e361a00881909b431dba0db978fd completed April 4, 2026, 10:09 a.m.
Created at: March 30, 2026, 7:33 p.m.