Triple

T15759641
Position Surface form Disambiguated ID Type / Status
Subject Wightlink E382060 entity
Predicate operatesRouteBetween P70721 FINISHED
Object Yarmouth E82854 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: Yarmouth | Statement: [Wightlink, operatesRouteBetween, Yarmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarmouth
Context triple: [Wightlink, operatesRouteBetween, Yarmouth]
  • A. Yarmouth chosen
    Yarmouth is a small historic port town and popular tourist destination on the western side of the Isle of Wight in England.
  • B. Yarmouth
    Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
  • C. Yarmouth
    Yarmouth is a coastal town in southwestern Nova Scotia, Canada, known historically for its fishing, shipbuilding, and maritime heritage.
  • D. Yarmouth, Maine
    Yarmouth, Maine is a coastal New England town north of Portland known for its historic village center, annual Clam Festival, and scenic location along the Royal River.
  • E. Seekonk
    Seekonk is a suburban town in Bristol County, Massachusetts, located just east of Providence, Rhode Island.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142df48e8819083a48d3b7b3f7f5d completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff28d38a4819085bf051b566c17e7 completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:47 a.m.