Triple

T16848478
Position Surface form Disambiguated ID Type / Status
Subject Hound Point Terminal E409606 entity
Predicate hasLoadingMethod P125096 FINISHED
Object subsea pipelines to offshore berths LITERAL 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: subsea pipelines to offshore berths | Statement: [Hound Point Terminal, hasLoadingMethod, subsea pipelines to offshore berths]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLoadingMethod
Context triple: [Hound Point Terminal, hasLoadingMethod, subsea pipelines to offshore berths]
  • A. hasLoadType
    Indicates the type or category of load associated with an entity (e.g., electrical, mechanical, data, or other load classifications).
  • B. hasWorkingMethod
    Indicates that one entity possesses or employs a functional method, procedure, or technique to achieve a particular task or outcome.
  • C. hasAccessMethod
    Indicates that one entity uses or is associated with a particular method or mechanism for accessing another entity or resource.
  • D. hasPlayingMethod
    Indicates that there is a specific way, technique, or method by which something is played or performed.
  • E. hasOverload
    Indicates that an entity defines multiple variants (overloads) of the same operation or function, typically distinguished by differing parameters or signatures.
  • F. None of above. chosen

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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69e32b87b4248190aaddb05e88452356 completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e34fb7c8c8819086975b7955b7d8ef completed April 18, 2026, 9:32 a.m.
Created at: April 10, 2026, 5:24 a.m.