Triple

T16226870
Position Surface form Disambiguated ID Type / Status
Subject Morgan County, Alabama E393871 entity
Predicate hasTown P847 FINISHED
Object Eva, Alabama E698514 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: Eva, Alabama | Statement: [Morgan County, Alabama, hasTown, Eva, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva, Alabama
Context triple: [Morgan County, Alabama, hasTown, Eva, Alabama]
  • A. Eva, Alabama chosen
    Eva, Alabama is a small rural town in north-central Alabama known for its close-knit community and location within Morgan County.
  • B. Waverly, Alabama
    Waverly, Alabama is a small rural town in eastern Alabama known for its tight-knit community and historic Southern character.
  • C. Vincent, Alabama
    Vincent, Alabama is a small town in central Alabama known for its rural character and location within the Birmingham–Hoover metropolitan area.
  • D. McCalla, Alabama
    McCalla, Alabama is an unincorporated community in Jefferson and Tuscaloosa counties known for its suburban character and proximity to Birmingham and historic sites like Tannehill Ironworks.
  • E. Eldridge, Alabama
    Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d26b02c819080b70ab7cc3bcc24 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.