Triple

T3078743
Position Surface form Disambiguated ID Type / Status
Subject Cowes E64202 entity
Predicate hasFerryServiceTo P1831 FINISHED
Object Southampton E17684 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: Southampton | Statement: [Cowes, hasFerryServiceTo, Southampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southampton
Context triple: [Cowes, hasFerryServiceTo, Southampton]
  • A. Southampton chosen
    Southampton is a major port city on England’s south coast, historically significant for its maritime trade, shipbuilding, and role as a departure point for transatlantic voyages.
  • B. Southampton
    Southampton is a wealthy town and popular seaside resort community on the South Fork of Long Island, New York, known for its beaches, historic villages, and part of the Hamptons.
  • C. Bristol
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • D. Gosport
    Gosport is a coastal town and borough on the south coast of England, situated opposite Portsmouth Harbour in the county of Hampshire.
  • E. Brighton
    Brighton is a small city in Colorado that forms part of the Denver metropolitan area along the Front Range of the Rocky Mountains.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a4da4b48190987aa1c1f5f61fd9 completed March 12, 2026, 7:55 p.m.
Created at: March 8, 2026, 3:02 p.m.