Triple

T17211308
Position Surface form Disambiguated ID Type / Status
Subject Princess Philippine Charlotte of Prussia E417736 entity
Predicate placeOfDeath P21 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: [Princess Philippine Charlotte of Prussia, placeOfDeath, Brunswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick
Context triple: [Princess Philippine Charlotte of Prussia, placeOfDeath, 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. Brunswick
    Brunswick is a coastal city in southeastern Georgia known for its historic port, maritime industry, and proximity to the Golden Isles.
  • D. Brunswick
    Brunswick is an inner-city suburb of Melbourne, Australia, known for its vibrant multicultural community, live music and arts scene, and bustling Sydney Road shopping and dining strip.
  • E. Brunswick
    Brunswick is a suburban city in northeastern Ohio, United States, located in Medina County within the Greater Cleveland metropolitan 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.