Triple

T17685195
Position Surface form Disambiguated ID Type / Status
Subject Sainsbury Collection E440870 entity
Predicate locatedIn P40 FINISHED
Object Norfolk NE NERFINISHED

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: [Sainsbury Collection, locatedIn, Norfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norfolk
Context triple: [Sainsbury Collection, locatedIn, 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 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 (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704710488190826aaf0bdd4b2088 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:02 a.m.