Triple

T10318390
Position Surface form Disambiguated ID Type / Status
Subject Channel Dash E242077 entity
Predicate shipDestination P1522 FINISHED
Object Wilhelmshaven E41561 NE FINISHED

How this triple was built (3 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: Wilhelmshaven | Statement: [Channel Dash, shipDestination, Wilhelmshaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmshaven
Context triple: [Channel Dash, shipDestination, Wilhelmshaven]
  • A. Wilhelmshaven chosen
    Wilhelmshaven is a coastal city in northwestern Germany known for its major naval base and port on the North Sea.
  • B. Cuxhaven
    Cuxhaven is a German port city on the North Sea coast that historically served as an important naval and maritime hub.
  • C. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • D. Dover
    Dover is one of the oldest permanent European settlements in what is now the U.S. state of New Hampshire, historically significant as an early colonial town and port.
  • E. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shipDestination
Context triple: [Channel Dash, shipDestination, Wilhelmshaven]
  • A. placeOfArrival chosen
    Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
  • B. stateShip
    Indicates that a ship is officially registered, documented, or associated with a particular state or governmental authority.
  • C. shippingAccess
    Indicates that one entity has the ability or permission to ship items to or on behalf of another entity.
  • D. shippingLaneFor
    Indicates that one entity serves as a designated shipping lane or route used for the transportation or navigation of another entity (such as ships or cargo).
  • E. destinedFor
    Indicates that one entity is intended, assigned, or meant to be used for, received by, or directed toward another entity or purpose.
  • F. None of above.

Provenance (4 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d8de9488190ae003231dccd0c8f completed April 9, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69d4d1f4f354819080b4ed4bc61bdff6 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:49 a.m.