Triple

T1584073
Position Surface form Disambiguated ID Type / Status
Subject Mobile, Alabama E34031 entity
Predicate isCountySeatOf P383 FINISHED
Object Mobile County E129640 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: Mobile County | Statement: [Mobile, Alabama, isCountySeatOf, Mobile County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile County
Context triple: [Mobile, Alabama, isCountySeatOf, Mobile County]
  • A. Mobile County chosen
    Mobile County is a coastal county in southwestern Alabama that includes the city of Mobile and serves as a key economic and cultural hub for the region.
  • B. Winston County
    Winston County is a rural county in northwestern Alabama known historically for its Unionist stance during the Civil War and its location within the state's hill country.
  • C. Wilcox County
    Wilcox County is a rural county in south-central Alabama known for its rich Civil Rights history and location along the Alabama River in the state's Black Belt region.
  • D. Baldwin County, Alabama
    Baldwin County, Alabama is a large Gulf Coast county known for its beaches, bays, and fast-growing communities across Mobile Bay from the city of Mobile.
  • E. Blount County
    Blount County is a county in north-central Alabama known for its rural communities, scenic landscapes, and historic covered bridges.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f0e72c8190bb7a2a0c77379060 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae02fafaac81908da419946e5a279d completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:27 p.m.