Triple

T16959769
Position Surface form Disambiguated ID Type / Status
Subject Den Briel E411395 entity
Predicate officialName P66 FINISHED
Object Brielle E97219 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: Brielle | Statement: [Den Briel, officialName, Brielle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brielle
Context triple: [Den Briel, officialName, Brielle]
  • A. Brielle chosen
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Baylene
    Baylene is an elderly, wise brachiosaurus who serves as a gentle mentor figure in Disney's 2000 animated film "Dinosaur."
  • D. Brinley
    Brinley is a given name most notably borne by Brinley Newton-John, the British-born Australian professor and father of singer Olivia Newton-John.
  • E. Bree
    Bree is a central character in the science-fiction film "Transcendence," closely connected to the story’s exploration of artificial intelligence and technological ethics.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01f9ba881908dc8820b92869a63 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d468f5048190aa43b212ec7a7306 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.