Triple

T12713817
Position Surface form Disambiguated ID Type / Status
Subject Eastern District E303786 entity
Predicate contains P35 FINISHED
Object North Point E685610 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: North Point | Statement: [Eastern District, contains, North Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Point
Context triple: [Eastern District, contains, North Point]
  • A. North Point
    North Point is a historic area in Maryland that served as a key battlefield during the War of 1812’s defense of Baltimore.
  • B. North Point chosen
    North Point is a densely populated residential and commercial district on the northeastern shore of Hong Kong Island known for its mixed older urban fabric and diverse communities.
  • C. North Point
    North Point is a scenic overlook in New York’s Catskill Mountains known for its expansive views of North-South Lake and the surrounding peaks.
  • D. North Point Breeze
    North Point Breeze is a residential neighborhood in Pittsburgh, Pennsylvania, known as the northern section of the larger Point Breeze area.
  • E. North Point Park
    North Point Park is an urban waterfront park in Cambridge and Boston, Massachusetts, known for its landscaped green spaces, river views, and recreational paths along the Charles River.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620a7554819083784897ff690652 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bad5108190915d14c3ec3d2e27 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.