Triple

T1941435
Position Surface form Disambiguated ID Type / Status
Subject Johanna Osthoff E41562 entity
Predicate residence P75 FINISHED
Object Brunswick E41721 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: Brunswick | Statement: [Johanna Osthoff, residence, Brunswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick
Context triple: [Johanna Osthoff, residence, Brunswick]
  • A. Brunswick chosen
    Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
  • B. Brunswick
    Brunswick is a coastal town in Maine known for its historic charm, cultural amenities, and role as the home of Bowdoin College.
  • C. 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.
  • D. Lunenburg
    Lunenburg is a historic coastal town in eastern Canada renowned for its colorful waterfront, shipbuilding heritage, and UNESCO World Heritage–listed Old Town.
  • E. Hampton
    Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fb21fc8190929ea4a87ef4402e completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3fa84e48190bac4d96aa3c3ec39 completed March 8, 2026, 10:11 p.m.
Created at: March 4, 2026, 7:36 p.m.