Triple

T774750
Position Surface form Disambiguated ID Type / Status
Subject Smog E16362 entity
Predicate recordLabel P1500 FINISHED
Object Drag City E17244 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: Drag City | Statement: [Smog, recordLabel, Drag City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drag City
Context triple: [Smog, recordLabel, Drag City]
  • A. Drag City chosen
    Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
  • B. Living for the City
    "Living for the City" is a socially conscious 1973 soul song by Stevie Wonder that powerfully depicts systemic racism and urban struggle through vivid storytelling and innovative production.
  • C. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • D. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • E. Leaving the City
    "Leaving the City" is a song by the American indie rock band Divers.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a73236288190b82d66202f2f7399 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efa8dd481909097c551bf3a61dc completed March 3, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:37 p.m.