Triple

T9242631
Position Surface form Disambiguated ID Type / Status
Subject Troon Yacht Haven E222099 entity
Predicate partOf P40 FINISHED
Object Yacht Havens Group network E786826 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: Yacht Havens Group network | Statement: [Troon Yacht Haven, partOf, Yacht Havens Group network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yacht Havens Group network
Context triple: [Troon Yacht Haven, partOf, Yacht Havens Group network]
  • A. Yacht Havens Group chosen
    Yacht Havens Group is a UK-based marina operator that owns and manages a network of premium yachting and boating facilities.
  • B. Westrec Marinas
    Westrec Marinas is a marina management company that operates and manages recreational boating facilities across various locations.
  • C. Maritime Group
    The Maritime Group is a specialized unit of the Philippine National Police responsible for law enforcement, security, and safety operations in the country’s maritime and coastal areas.
  • D. Jersey Marine
    Jersey Marine is a coastal village in South Wales known for its proximity to Swansea Bay and its historic tower landmark.
  • E. Hanse Sail
    Hanse Sail is a major annual maritime festival in Rostock, Germany, renowned for its gathering of traditional sailing ships and large windjammers from around the world.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ec23ec8190993003a826372d40 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bca80a481908038fee287989a54 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:30 p.m.