Triple

T12708984
Position Surface form Disambiguated ID Type / Status
Subject Deben Estuary E303663 entity
Predicate hasMarinaOrMoorings P76629 FINISHED
Object Ramsholt E998670 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: Ramsholt | Statement: [Deben Estuary, hasMarinaOrMoorings, Ramsholt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramsholt
Context triple: [Deben Estuary, hasMarinaOrMoorings, Ramsholt]
  • A. Ramsholt chosen
    Ramsholt is a small rural village in Suffolk, England, known for its riverside setting on the River Deben and historic parish church.
  • B. Nannfeldt
    Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
  • C. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • D. Lokstedt
    Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
  • E. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7e0a44819093c90f593ad616b9 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:23 p.m.