Triple

T6495685
Position Surface form Disambiguated ID Type / Status
Subject The Wash estuary E148153 entity
Predicate borderedBy P224 FINISHED
Object Norfolk E26320 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: [The Wash estuary, borderedBy, Norfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk
Context triple: [The Wash estuary, borderedBy, Norfolk]
  • A. Norfolk chosen
    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
    Norfolk is an independent coastal city in southeastern Virginia known for its major naval base and historic waterfront.
  • C. Portsmouth
    Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
  • D. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • E. Portsmouth
    Portsmouth is an independent port city in southeastern Virginia known for its historic shipyard, naval facilities, and waterfront along the Elizabeth 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab958808190bd85e007e925ffc4 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c674074df08190a32f7014b2df0120 completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:53 p.m.