Triple

T1067367
Position Surface form Disambiguated ID Type / Status
Subject Logan Circle E23241 entity
Predicate near P350 FINISHED
Object Shaw E71581 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: Shaw | Statement: [Logan Circle, near, Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaw
Context triple: [Logan Circle, near, Shaw]
  • A. Shaw chosen
    Shaw is a historic, culturally rich neighborhood in Washington, D.C., known for its African American heritage, jazz legacy, and vibrant urban revival.
  • B. Shaw
    Shaw is a town in the Metropolitan Borough of Oldham in Greater Manchester, England, known historically for its role in the textile industry.
  • C. Sidney Howard
    Sidney Howard was an American playwright and screenwriter best known for adapting Margaret Mitchell’s novel into the Academy Award–winning screenplay for the film "Gone with the Wind."
  • D. Crucible Theatre
    The Crucible Theatre is a renowned performing arts venue in Sheffield, England, best known internationally as the main stage for the World Snooker Championship.
  • E. Shriver
    Shriver is a prominent American family name associated with notable figures in politics, public service, and media.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b911f06881908659cb85ba1e05e0 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a51c208190a9a603100ed7f5dc completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.