Triple

T1443856
Position Surface form Disambiguated ID Type / Status
Subject Marion County E31132 entity
Predicate borderedBy P224 FINISHED
Object Morgan County E181831 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: Morgan County | Statement: [Marion County, borderedBy, Morgan County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan County
Context triple: [Marion County, borderedBy, Morgan County]
  • A. Morgan County chosen
    Morgan County is a county in northern Alabama known for its seat in Decatur and its role in the Huntsville-Decatur metropolitan area.
  • B. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • C. Macon County
    Macon County is a rural county in central Georgia known for its agricultural landscape and small-town communities.
  • D. Macon County
    Macon County is a county in eastern Alabama known for its historical significance in the civil rights movement and as the home of Tuskegee University.
  • E. Pike County
    Pike County is a county in southeastern Alabama known for its agricultural economy and as the home of Troy University.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c533a158819084d0917776edb6e5 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69afa035474881908e283cd1af65beea completed March 10, 2026, 4:38 a.m.
Created at: March 1, 2026, 8 p.m.