Triple

T8041265
Position Surface form Disambiguated ID Type / Status
Subject PA 611 (portion) E187444 entity
Predicate connectsArea P2564 FINISHED
Object Center City E148208 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: Center City | Statement: [PA 611 (portion), connectsArea, Center City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center City
Context triple: [PA 611 (portion), connectsArea, Center City]
  • A. Center City chosen
    Center City is the primary downtown business and commercial district of Philadelphia, Pennsylvania, known for its dense skyline, cultural institutions, and historic landmarks.
  • B. Central City
    Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
  • C. 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."
  • D. Central City
    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.
  • E. 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.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1e98508190a29a7bb5055f8ba0 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5706a4a881909758ea34cf5c0cf2 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.