Triple

T9171265
Position Surface form Disambiguated ID Type / Status
Subject Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region E220084 entity
Predicate hasCoreCity P294 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: [Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region, hasCoreCity, Brunswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick
Context triple: [Hanover–Brunswick–Göttingen–Wolfsburg Metropolitan Region, hasCoreCity, Brunswick]
  • A. Brunswick
    Brunswick is a football club that competes in the Netherlands' second-tier league system.
  • B. Brunswick chosen
    Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
  • C. Brunswick
    Brunswick is a coastal town in Maine known for its historic charm, cultural amenities, and role as the home of Bowdoin College.
  • D. Brunswick
    Brunswick is a coastal city in southeastern Georgia known for its historic port, maritime industry, and proximity to the Golden Isles.
  • E. 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.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c077f008190ba1bcd82b3fe9a1d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:22 p.m.