Triple

T9871049
Position Surface form Disambiguated ID Type / Status
Subject Birkenhead Docks E239956 entity
Predicate hasPart P35 FINISHED
Object Egerton Dock E802785 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: Egerton Dock | Statement: [Birkenhead Docks, hasPart, Egerton Dock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egerton Dock
Context triple: [Birkenhead Docks, hasPart, Egerton Dock]
  • A. Egerton Dock chosen
    Egerton Dock is a historic dock on the River Mersey in Liverpool, England, that formed part of the city’s once-extensive commercial port complex.
  • B. Brocklebank Dock
    Brocklebank Dock is one of the docks within the Port of Liverpool, historically used for commercial shipping and maritime trade on the River Mersey in England.
  • C. Huskisson Dock
    Huskisson Dock is a historic dock within the Port of Liverpool in England, known for its role in the city’s maritime trade and industrial heritage.
  • D. Gladstone Dock
    Gladstone Dock is a major deep-water dock within the Port of Liverpool on the River Mersey, historically important for handling large ocean-going vessels and bulk cargo.
  • E. 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.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d60b2f8819087f4242f36b05a49 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:36 p.m.