Triple

T9253613
Position Surface form Disambiguated ID Type / Status
Subject Tidewater Virginia E222384 entity
Predicate contains P35 FINISHED
Object Norfolk E254675 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: Norfolk | Statement: [Tidewater Virginia, contains, Norfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk
Context triple: [Tidewater Virginia, contains, Norfolk]
  • A. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • B. Norfolk chosen
    Norfolk is an independent coastal city in southeastern Virginia known for its major naval base and historic waterfront.
  • C. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • D. Portsmouth
    Portsmouth is an independent port city in southeastern Virginia known for its historic shipyard, naval facilities, and waterfront along the Elizabeth River.
  • E. Portsmouth
    Portsmouth is a coastal town in northern Dominica known as a key port and gateway to the island’s natural attractions, including nearby rainforests and mountains.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b0789481908e8e44ebf1b3c713 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b96f0e88190bd80594fe3f769b8 completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:31 p.m.