Triple

T3968805
Position Surface form Disambiguated ID Type / Status
Subject City and County of Swansea E92278 entity
Predicate contains P35 FINISHED
Object Jersey Marine E112339 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: Jersey Marine | Statement: [City and County of Swansea, contains, Jersey Marine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jersey Marine
Context triple: [City and County of Swansea, contains, Jersey Marine]
  • A. Jersey Marine chosen
    Jersey Marine is a coastal village in South Wales known for its proximity to Swansea Bay and its historic tower landmark.
  • B. Speirs + Major
    Speirs + Major is a renowned UK-based lighting design practice known for creating innovative architectural and urban lighting schemes for landmark projects worldwide.
  • C. Atlantic Marine
    Atlantic Marine is a shipbuilding company known for constructing specialized research and commercial vessels.
  • D. Wherry Lines
    The Wherry Lines are a network of scenic railway routes in Norfolk, England, connecting Norwich with coastal towns such as Great Yarmouth and Lowestoft through the Broads.
  • E. Hornblower Group
    Hornblower Group is a U.S.-based maritime hospitality and transportation company known for operating sightseeing cruises, ferries, and experiential travel services in major cities and tourist destinations.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c39de881908916baaf8d8c6cd6 completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:32 p.m.