Triple

T10133704
Position Surface form Disambiguated ID Type / Status
Subject Bangor, County Down E226801 entity
Predicate hasFeature P182 FINISHED
Object Bangor Marina E413161 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: Bangor Marina | Statement: [Bangor, County Down, hasFeature, Bangor Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor Marina
Context triple: [Bangor, County Down, hasFeature, Bangor Marina]
  • A. Bangor Marina chosen
    Bangor Marina is a prominent leisure and boating facility located on the coast of Bangor in County Down, Northern Ireland.
  • B. Ellesmere Marina
    Ellesmere Marina is a small inland boat marina in Ellesmere, Shropshire, providing moorings and services for canal and leisure craft on the Llangollen Canal.
  • C. Bristol Marina
    Bristol Marina is a residential and leisure boat marina located within Bristol’s historic harbour, offering moorings and waterfront facilities close to the city centre.
  • D. Glasson Dock
    Glasson Dock is a small port village in Lancashire, England, known for its historic dock and marina at the mouth of the River Lune.
  • E. Penarth Marina
    Penarth Marina is a modern waterfront marina and residential development located in Penarth, near Cardiff in South Wales.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33808048190b6023a6cd83fc179 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5d98a148190ada7082adb98ddaa completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.