Triple

T4235427
Position Surface form Disambiguated ID Type / Status
Subject North Sea–English Channel area E94680 entity
Predicate hasPort P35 FINISHED
Object Port of Calais E30799 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: Port of Calais | Statement: [North Sea–English Channel area, hasPort, Port of Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Calais
Context triple: [North Sea–English Channel area, hasPort, Port of Calais]
  • A. Calais chosen
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • B. Port of Boulogne-sur-Mer
    The Port of Boulogne-sur-Mer is a major French fishing and commercial harbor on the English Channel, known as one of Europe’s leading seafood ports.
  • C. Port of Le Havre
    The Port of Le Havre is one of France’s largest and busiest seaports, serving as a major gateway for maritime trade on the English Channel and the North Sea.
  • D. Port of Rouen
    The Port of Rouen is a major French inland seaport and grain-export hub located on the River Seine between Paris and the English Channel.
  • E. Port of Dover
    The Port of Dover is the United Kingdom’s busiest international ferry port and a major gateway to continental Europe, handling extensive passenger and freight traffic across the English Channel.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e72ff588190a50c04ab975612dd completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.