Triple

T15893966
Position Surface form Disambiguated ID Type / Status
Subject Georgia Avenue E385401 entity
Predicate servesNeighborhood P82 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: [Georgia Avenue, servesNeighborhood, Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaw
Context triple: [Georgia Avenue, servesNeighborhood, 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 common English and Scottish surname borne by numerous notable figures in literature, politics, and the arts.
  • C. Shaw
    Shaw is a town in the Metropolitan Borough of Oldham in Greater Manchester, England, known historically for its role in the textile industry.
  • D. Shaw (partial)
    Shaw is a historic Washington, D.C. neighborhood known for its African American cultural heritage, vibrant arts and nightlife, and significant role in the city’s civil rights history.
  • E. Shaffer
    Shaffer is a surname of English origin borne by various notable individuals across fields such as literature, law, and the arts.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563809748190a54156b946d3f061 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.