Triple

T905478
Position Surface form Disambiguated ID Type / Status
Subject Province of Delaware E19537 entity
Predicate hasMajorSettlement P316 FINISHED
Object New Castle E107837 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: New Castle | Statement: [Province of Delaware, hasMajorSettlement, New Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Castle
Context triple: [Province of Delaware, hasMajorSettlement, New Castle]
  • A. New Castle chosen
    New Castle is a historic riverfront city in northern Delaware known for its well-preserved colonial architecture and role as an early center of government in the state.
  • B. Williamsburg
    Williamsburg is a historic colonial city in Virginia renowned for its well-preserved 18th-century architecture and living-history museum, Colonial Williamsburg.
  • C. Williamsburg
    Williamsburg is a trendy Brooklyn neighborhood known for its vibrant arts scene, nightlife, and waterfront views of Manhattan.
  • D. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • E. Lunenburg
    Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee054c808190888594a6421c4b60 completed March 4, 2026, 8:32 a.m.
Created at: March 1, 2026, 7:39 p.m.