Triple

T10012965
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn Community District 1 E199417 entity
Predicate hasNeighborhood P40 FINISHED
Object Williamsburg E44832 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: Williamsburg | Statement: [Brooklyn Community District 1, hasNeighborhood, Williamsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamsburg
Context triple: [Brooklyn Community District 1, hasNeighborhood, Williamsburg]
  • A. Williamsburg
    Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
  • B. Williamsburg chosen
    Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
  • C. Williamsburg
    Williamsburg is a small rural community located within Dundas County in eastern Ontario, Canada.
  • D. Charles City
    Charles City is a small northeastern Iowa community known historically as a manufacturing and transportation hub along the Cedar River.
  • E. Charles City
    Charles City is a small unincorporated community in eastern Virginia that serves as the administrative center of historic Charles City County.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd3e35508190920468be167cb708 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb8b92b0819081e5ac52e2f4f27e completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:52 p.m.