Triple

T4995440
Position Surface form Disambiguated ID Type / Status
Subject West India Docks E112233 entity
Predicate hasComponent P35 FINISHED
Object Import Dock E438284 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: Import Dock | Statement: [West India Docks, hasComponent, Import Dock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Import Dock
Context triple: [West India Docks, hasComponent, Import Dock]
  • A. Import Dock chosen
    Import Dock was a principal basin within London’s historic East India Docks complex, used for receiving and unloading incoming cargo ships engaged in trade with the East Indies.
  • B. Dockers
    Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
  • C. Docker
    Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
  • D. Ocean Dock
    Ocean Dock is a major deep-water berth within the Port of Southampton, historically used for handling large ocean-going passenger liners and cargo ships.
  • E. Dockery
    Dockery is an English surname most notably associated with actress Michelle Dockery, known for her role in the television series "Downton Abbey."
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72a0122c8190bb2fc655f3bc11b0 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a30bb988190939e1ca5226e1dd4 completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.