Triple

T6389780
Position Surface form Disambiguated ID Type / Status
Subject Ocmulgee River E143791 entity
Predicate hasNearbyCity P350 FINISHED
Object Lumber City, Georgia E406908 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: Lumber City, Georgia | Statement: [Ocmulgee River, hasNearbyCity, Lumber City, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumber City, Georgia
Context triple: [Ocmulgee River, hasNearbyCity, Lumber City, Georgia]
  • A. Lumber City, Georgia chosen
    Lumber City, Georgia is a small rural city in Telfair County known historically as a timber and river trade community in southeastern Georgia.
  • B. Iron City, Georgia
    Iron City, Georgia is a small rural town located in Seminole County in the southwestern part of the state.
  • C. Louisville, Georgia
    Louisville, Georgia is a small historic city that briefly served as the capital of the U.S. state of Georgia in the late 18th century.
  • D. Union City, Georgia
    Union City, Georgia is a suburban city in the Atlanta metropolitan area located in Fulton County.
  • E. Meansville, Georgia
    Meansville, Georgia is a small rural town in Pike County known for its quiet residential character and location along regional routes in west-central Georgia.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686cc6d481909c62a29a84a4ce8e completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6637a1b548190b5af5cbae81346e8 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:34 p.m.