Triple

T17970389
Position Surface form Disambiguated ID Type / Status
Subject Jersey European Airways E449321 entity
Predicate servedDestination P50377 FINISHED
Object Southampton 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: Southampton | Statement: [Jersey European Airways, servedDestination, Southampton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southampton
Context triple: [Jersey European Airways, servedDestination, 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. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • E. Bristol
    Bristol is a small unincorporated rural community located in southeastern Colorado, United States.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fa67c48190936f20cea45e4599 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.