Triple

T2719525
Position Surface form Disambiguated ID Type / Status
Subject Coffee County, Alabama E60047 entity
Predicate seatMovedFrom P20209 FINISHED
Object Elba, Alabama E293179 NE FINISHED

How this triple was built (3 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: Elba, Alabama | Statement: [Coffee County, Alabama, seatMovedFrom, Elba, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elba, Alabama
Context triple: [Coffee County, Alabama, seatMovedFrom, Elba, Alabama]
  • A. Elba, Alabama chosen
    Elba, Alabama is a small city in southeastern Alabama known for its historic downtown and repeated flooding from the nearby Pea River.
  • B. Cusseta, Alabama
    Cusseta, Alabama is a small rural town in eastern Alabama known for its quiet community within Chambers County.
  • C. Isabella, Alabama
    Isabella, Alabama is a small unincorporated rural community located in Chilton County in the central part of the state.
  • D. Empire, Alabama
    Empire, Alabama is a small unincorporated community located in Walker County in the north-central region of the state.
  • E. Argo, Alabama
    Argo, Alabama is a small town in the Birmingham metropolitan area known for its suburban-rural character within central Alabama.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatMovedFrom
Context triple: [Coffee County, Alabama, seatMovedFrom, Elba, Alabama]
  • A. transferredSeatsTo
    Indicates that one entity moved or reassigned seats it controlled or possessed to another entity.
  • B. relocatedBetween chosen
    Indicates that an entity changed location from one place to another during a specified time interval or between two reference points.
  • C. seatLocation
    Indicates the spatial position or placement of a seat relative to a reference point or environment.
  • D. movedBy
    Indicates that an entity changes position or location as a result of another entity’s action or influence.
  • E. seatLocatedIn
    Indicates that a seat is situated within or belongs to a specific location or area.
  • F. None of above.

Provenance (4 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaaee104819085966bc54d5da9c0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc033d94481908e4709529ab93442 completed March 10, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abd8240920819087a812d816a55edb completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.