Triple

T13282022
Position Surface form Disambiguated ID Type / Status
Subject Autauga County, Alabama E316344 entity
Predicate hasTown P847 FINISHED
Object Billingsley, Alabama E241515 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: Billingsley, Alabama | Statement: [Autauga County, Alabama, hasTown, Billingsley, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billingsley, Alabama
Context triple: [Autauga County, Alabama, hasTown, Billingsley, Alabama]
  • A. Billingsley, Alabama chosen
    Billingsley, Alabama is a small rural town in central Alabama known for its close-knit community and agricultural surroundings.
  • B. Courtland, Alabama
    Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
  • C. Brent, Alabama
    Brent, Alabama is a small city in central Alabama known for its rural character and location within Bibb County.
  • D. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • E. Heflin, Alabama
    Heflin, Alabama is a small city in Cleburne County that serves as the county seat and lies in eastern Alabama near the Georgia state line.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d360c60819086a8168bdc092e1c completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:27 p.m.