Triple

T8748767
Position Surface form Disambiguated ID Type / Status
Subject Wind Creek Casino and Hotel Atmore E207900 entity
Predicate city P40 FINISHED
Object Atmore E209148 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: Atmore | Statement: [Wind Creek Casino and Hotel Atmore, city, Atmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atmore
Context triple: [Wind Creek Casino and Hotel Atmore, city, Atmore]
  • A. Atmore, Alabama chosen
    Atmore, Alabama is a small city in Escambia County near the Florida state line, known historically for its railroad roots and proximity to several state and federal correctional facilities.
  • B. Orange Beach
    Orange Beach is a coastal resort city on Alabama’s Gulf Coast known for its white-sand beaches, boating, and vacation attractions.
  • C. Saraland
    Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
  • D. Opelika
    Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
  • E. Gulf Shores
    Gulf Shores is a popular coastal resort city on Alabama’s Gulf of Mexico shoreline, known for its white-sand beaches and tourism.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da4214881908b6917f847c43cb5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f0524e08190bc5ba6cda2e2e4fa completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:39 p.m.