Triple

T4825429
Position Surface form Disambiguated ID Type / Status
Subject Tattnall County E107811 entity
Predicate hasBorderWith P224 FINISHED
Object Evans County E140145 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: Evans County | Statement: [Tattnall County, hasBorderWith, Evans County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evans County
Context triple: [Tattnall County, hasBorderWith, Evans County]
  • A. Evans County chosen
    Evans County is a rural county in southeastern Georgia known for its agricultural landscape and small-town communities.
  • B. Taylor County
    Taylor County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • C. Taylor County
    Taylor County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key state highways.
  • D. Taylor County
    Taylor County is a rural county in Florida known for its Gulf Coast shoreline, forests, and small-town communities centered around the city of Perry.
  • E. Decatur County
    Decatur County is a rural county in the U.S. state of Iowa known for its agricultural landscape and small communities.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee059e7088190a04124e5918a3c42 completed March 21, 2026, 6:15 p.m.
Created at: March 20, 2026, 1:24 p.m.