Triple

T16014191
Position Surface form Disambiguated ID Type / Status
Subject Brielle E388419 entity
Predicate alternativeName P39 FINISHED
Object Den Briel E411395 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: Den Briel | Statement: [Brielle, alternativeName, Den Briel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Briel
Context triple: [Brielle, alternativeName, Den Briel]
  • A. Den Briel chosen
    Den Briel (Brielle) is a historic Dutch town and seaport in South Holland, known for its role in the Eighty Years' War and as the birthplace of admiral Maarten Tromp.
  • B. Doumen
    Doumen is a town in Guangdong Province, China, serving as the administrative seat and namesake of Doumen District in the city of Zhuhai.
  • C. Rheinberg
    Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Schippenbeil
    Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.