Triple

T2528688
Position Surface form Disambiguated ID Type / Status
Subject Birmingham, Alabama E56101 entity
Predicate nickname P55 FINISHED
Object The Magic City E4563 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: The Magic City | Statement: [Birmingham, Alabama, nickname, The Magic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Magic City
Context triple: [Birmingham, Alabama, nickname, The Magic City]
  • A. The Magic City chosen
    The Magic City is a nickname for Birmingham, Alabama, highlighting its rapid growth during the late 19th and early 20th centuries as an industrial and economic center.
  • B. Magic City
    Magic City is the nickname of Billings, Montana, reflecting its rapid growth from a small railroad town into the state’s largest city.
  • C. Collar City
    Collar City is the nickname for Troy, New York, historically known as a major center of shirt-collar and textile manufacturing.
  • D. Basin City
    Basin City is the gritty, crime-ridden fictional metropolis that serves as the primary setting for Frank Miller’s Sin City graphic novels and their film adaptations.
  • E. Gateway City
    Gateway City is a nickname for St. Louis, Missouri, highlighting its historic role as a major entry point to the American West.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bb3b55c81909e72ed055887ecca completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:46 p.m.