Triple

T6867777
Position Surface form Disambiguated ID Type / Status
Subject State Route 22 (Alabama) E158454 entity
Predicate serves P98 FINISHED
Object Rockford, Alabama E430223 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: Rockford, Alabama | Statement: [State Route 22 (Alabama), serves, Rockford, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rockford, Alabama
Context triple: [State Route 22 (Alabama), serves, Rockford, Alabama]
  • A. Rockford, Alabama chosen
    Rockford, Alabama is a small rural town in central Alabama that serves as the administrative and civic hub of Coosa County.
  • B. Fairfield, Alabama
    Fairfield, Alabama is a small city in Jefferson County that functions as a residential and industrial suburb of Birmingham within central Alabama.
  • C. Fayetteville, Alabama
    Fayetteville, Alabama is an unincorporated rural community located in Shelby County in the central part of the state.
  • D. Riverside, Alabama
    Riverside, Alabama is a small community in St. Clair County known for its location along the Coosa River in central Alabama.
  • E. Sylvania, Alabama
    Sylvania, Alabama is a small rural town in northeastern Alabama known for its close-knit community and location atop Sand Mountain.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a793a481909340239c065393a4 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8569b932481909d41130303e21518 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 2:21 p.m.