Triple

T19192587
Position Surface form Disambiguated ID Type / Status
Subject Northwest Alabama E469878 entity
Predicate contains P35 FINISHED
Object Killen, Alabama NE NERFINISHED

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: Killen, Alabama | Statement: [Northwest Alabama, contains, Killen, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killen, Alabama
Context triple: [Northwest Alabama, contains, Killen, Alabama]
  • A. Killen, Alabama chosen
    Killen, Alabama is a small town in northwestern Alabama known for its proximity to the Tennessee River and the Florence–Muscle Shoals metropolitan area.
  • 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. Straughn, Alabama
    Straughn, Alabama is a small unincorporated rural community located in Covington County in the southern part of the state.
  • D. Lockhart, Alabama
    Lockhart, Alabama is a small town in southern Alabama known for its rural character and location near the Florida state line.
  • 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 (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a3434881908acc4063a9ee9386 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.