Triple

T14108655
Position Surface form Disambiguated ID Type / Status
Subject New Orleans Central Business District E339574 entity
Predicate borderedBy P224 FINISHED
Object Central City E127210 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: Central City | Statement: [New Orleans Central Business District, borderedBy, Central City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central City
Context triple: [New Orleans Central Business District, borderedBy, Central City]
  • A. Central City chosen
    Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
  • B. Central City
    Central City is a historic Colorado mining town famed for its boom during the mid-19th-century gold rush and its well-preserved Victorian-era architecture.
  • C. Central City
    Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
  • D. Central City
    Central City is the fictional Midwestern town that serves as the primary backdrop for the classic American sitcom "The Many Loves of Dobie Gillis."
  • E. Central City
    Central City was the former name of Santa Maria, a city in California’s Central Coast region known for agriculture and wine production.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.