Triple

T3703293
Position Surface form Disambiguated ID Type / Status
Subject Shreveport E80831 entity
Predicate hasSisterCity P919 FINISHED
Object Brunswick E148165 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: [Shreveport, hasSisterCity, Brunswick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunswick
Context triple: [Shreveport, hasSisterCity, Brunswick]
  • A. Brunswick
    Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
  • B. Brunswick chosen
    Brunswick is a coastal town in Maine known for its historic charm, cultural amenities, and role as the home of Bowdoin College.
  • C. Brunswick-Bevern
    Brunswick-Bevern was a German ducal principality in the Holy Roman Empire, governed by a cadet branch of the House of Welf centered around the town of Bevern.
  • D. Brunswick, Maine
    Brunswick, Maine is a coastal New England town known for being the home of Bowdoin College and for its historic downtown and maritime heritage.
  • E. 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.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54925b48190b23d2a14ef825abc completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdf822348190bf95f7d119c6265a completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:33 p.m.