Triple

T4506749
Position Surface form Disambiguated ID Type / Status
Subject DC Universe E101347 entity
Predicate hasFictionalLocation P21117 FINISHED
Object Central City E403879 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: [DC Universe, hasFictionalLocation, Central City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central City
Context triple: [DC Universe, hasFictionalLocation, Central City]
  • A. 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.
  • 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 chosen
    Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
  • D. Center City
    Center City is the primary downtown business and commercial district of Philadelphia, Pennsylvania, known for its dense skyline, cultural institutions, and historic landmarks.
  • E. City Center
    City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9d05d08190bde36e7d614a0e2e completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:01 p.m.