Triple

T10661557
Position Surface form Disambiguated ID Type / Status
Subject Rotherhithe E251237 entity
Predicate contains P35 FINISHED
Object Greenland Dock E484648 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: Greenland Dock | Statement: [Rotherhithe, contains, Greenland Dock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenland Dock
Context triple: [Rotherhithe, contains, Greenland Dock]
  • A. Greenland Dock chosen
    Greenland Dock is a historic former commercial dock in Rotherhithe, southeast London, now redeveloped as a residential marina and leisure area on the River Thames.
  • B. Barrow docks
    Barrow docks is a historic port complex in Barrow-in-Furness, England, that developed into a major industrial and shipbuilding hub during the 19th and 20th centuries.
  • C. Colman Dock
    Colman Dock is a major ferry terminal on Seattle’s downtown waterfront that serves as a key hub for Washington State Ferries across Puget Sound.
  • D. Dungeness Dock
    Dungeness Dock is a waterfront landing area associated with the historic Dungeness estate on Cumberland Island, Georgia, serving as a primary access point by boat.
  • E. Glasson Dock
    Glasson Dock is a small port village in Lancashire, England, known for its historic dock and marina at the mouth of the River Lune.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e018d1e881909b8e62682104e842 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:08 p.m.