Triple

T6087857
Position Surface form Disambiguated ID Type / Status
Subject Northern Alabama E135684 entity
Predicate hasMajorCity P316 FINISHED
Object Gadsden, Alabama E47191 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: Gadsden, Alabama | Statement: [Northern Alabama, hasMajorCity, Gadsden, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadsden, Alabama
Context triple: [Northern Alabama, hasMajorCity, Gadsden, Alabama]
  • A. Gadsden, Alabama chosen
    Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
  • B. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Montgomery, Alabama
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • D. Bessemer, Alabama
    Bessemer, Alabama is an industrial city in Jefferson County that forms part of the greater Birmingham region in central Alabama.
  • E. Livingston, Alabama
    Livingston, Alabama is a small city in Sumter County best known as the home of the University of West Alabama.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578bf2508190859c2dbd4c10b316 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4036f2081909fa40e07d19291f2 completed March 27, 2026, 8:09 p.m.
Created at: March 22, 2026, 4:12 p.m.