Triple

T23083344
Position Surface form Disambiguated ID Type / Status
Subject Wall Township E575535 entity
Predicate borderedBy P224 FINISHED
Object Brielle NE NERFINISHED

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: [Wall Township, borderedBy, Brielle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brielle
Context triple: [Wall Township, borderedBy, Brielle]
  • A. Brielle
    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. Brielle chosen
    Brielle is a small borough in Monmouth County, New Jersey, known for its residential waterfront community and access to coastal and riverfront recreation.
  • C. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • D. Brynna
    Brynna is a village in the county borough of Rhondda Cynon Taf in South Wales.
  • E. Briana
    Briana is the given name of Briana Scurry, a pioneering American soccer goalkeeper and two-time Olympic gold medalist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da304548190ab7a421c1ded0eb6 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.