Triple

T7035753
Position Surface form Disambiguated ID Type / Status
Subject Crenshaw County E163377 entity
Predicate hasLargestCity P235 FINISHED
Object Luverne E637250 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: Luverne | Statement: [Crenshaw County, hasLargestCity, Luverne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luverne
Context triple: [Crenshaw County, hasLargestCity, Luverne]
  • A. Luverne chosen
    Luverne is a small city in southern Alabama that serves as the administrative and commercial hub of Crenshaw County.
  • B. Luverne, Minnesota
    Luverne, Minnesota is a small city in the southwestern part of the state known for its historic downtown, prairie landscapes, and role as an agricultural and regional service center.
  • C. Owasso
    Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
  • D. Iowa Falls
    Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
  • E. Cottage Grove
    Cottage Grove is a suburban village in south-central Wisconsin known for its residential communities and proximity to Madison.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78863c2fc8190b9b54613968742e1 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.