Triple

T13860759
Position Surface form Disambiguated ID Type / Status
Subject Anniston Amtrak station E333188 entity
Predicate addressLocality P7943 FINISHED
Object Anniston E66579 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: Anniston | Statement: [Anniston Amtrak station, addressLocality, Anniston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anniston
Context triple: [Anniston Amtrak station, addressLocality, Anniston]
  • A. Anniston, Alabama chosen
    Anniston, Alabama is a small city in northeastern Alabama known historically as a planned industrial community and gateway to the nearby Appalachian foothills.
  • B. Phenix City
    Phenix City is a city in eastern Alabama located along the Chattahoochee River, directly across from Columbus, Georgia.
  • C. Demopolis
    Demopolis is a small historic city in western Alabama known for its antebellum architecture and location at the confluence of the Tombigbee and Black Warrior rivers.
  • D. Tuscumbia
    Tuscumbia is a small historic city in northwestern Alabama, best known as the birthplace of Helen Keller and for its role in the early development of the region.
  • E. Cullman
    Cullman is a small city in north-central Alabama known for its German heritage, historic downtown, and proximity to Smith Lake.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeefd61c81908d189237af45467a completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:14 p.m.