Triple

T22532282
Position Surface form Disambiguated ID Type / Status
Subject MV Loch Seaforth (2014 ferry) E557067 entity
Predicate builder P3143 FINISHED
Object FSG 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: FSG | Statement: [MV Loch Seaforth (2014 ferry), builder, FSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSG
Context triple: [MV Loch Seaforth (2014 ferry), builder, FSG]
  • A. FSG
    FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
  • B. FSG chosen
    FSG is a prominent American publishing imprint known for literary fiction, nonfiction, and poetry, originally associated with Farrar, Straus and Giroux.
  • C. FSGC
    FSGC is the governing body responsible for overseeing football activities and the national teams in San Marino.
  • D. FCSG
    FCSG is the commonly used abbreviation for FC St. Gallen, one of Switzerland’s oldest professional football clubs.
  • E. FSS
    FSS is Oracle’s managed, scalable network file storage service designed for high-performance, shared file systems in Oracle Cloud Infrastructure.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed7625081908bdb6cebcda96712 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.