Triple

T4890419
Position Surface form Disambiguated ID Type / Status
Subject Toombs County E109544 entity
Predicate borderedBy P224 FINISHED
Object Appling County E136707 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: Appling County | Statement: [Toombs County, borderedBy, Appling County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appling County
Context triple: [Toombs County, borderedBy, Appling County]
  • A. Appling County chosen
    Appling County is a rural county in southeastern Georgia known for its agriculture, small-town communities, and county seat of Baxley.
  • B. Baca County
    Baca County is a sparsely populated, agriculture-focused county located in the southeastern corner of the U.S. state of Colorado.
  • C. Randolph County
    Randolph County is a rural county in eastern Alabama known for its small towns, agricultural landscape, and proximity to the Georgia state line.
  • D. McIntosh County
    McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
  • E. Haralson County
    Haralson County is a rural county in western Georgia known historically for its location within the Georgia Gold Belt and its small-town 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfa0b4fc8190bf9ee8abf1684503 completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:28 p.m.