Triple

T6594806
Position Surface form Disambiguated ID Type / Status
Subject Operation Cerberus E148448 entity
Predicate destinationPort P1763 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: [Operation Cerberus, destinationPort, Wilhelmshaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelmshaven
Context triple: [Operation Cerberus, destinationPort, 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 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.
  • D. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • 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: destinationPort
Context triple: [Operation Cerberus, destinationPort, Wilhelmshaven]
  • A. portNumber
    Indicates the specific communication port assigned to a network connection, service, or endpoint.
  • B. connectionPort
    Indicates a specific port through which two components, systems, or devices are connected or can communicate.
  • C. registeredPort
    Indicates that a specific network port number has been officially assigned and recorded for use by a particular service or protocol.
  • D. port chosen
    Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
  • E. portLocation
    Indicates that a port is geographically situated at or associated with a specific location.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42d6ba08190beccfad588594780 completed March 27, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69c6acfd17388190bd0bb8b2371e7df1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:55 p.m.