Triple

T18700929
Position Surface form Disambiguated ID Type / Status
Subject Grand Canal Theatre E457246 entity
Predicate locatedIn P40 FINISHED
Object Grand Canal Dock NE NERFINISHED

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: Grand Canal Dock | Statement: [Grand Canal Theatre, locatedIn, Grand Canal Dock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Canal Dock
Context triple: [Grand Canal Theatre, locatedIn, Grand Canal Dock]
  • A. Grand Canal Dock chosen
    Grand Canal Dock is a waterfront area in Dublin, Ireland, known for its modern offices, theatres, and apartments built around the historic terminus of the Grand Canal.
  • B. Royal Victoria Dock
    Royal Victoria Dock is a historic 19th-century dock in East London that has been transformed into a mixed-use area featuring exhibition venues, housing, and leisure facilities along the River Thames.
  • C. Queen’s Dock
    Queen’s Dock is a historic dock in Kingston upon Hull, England, that played a key role in the city’s maritime trade and port development.
  • D. Canning Dock
    Canning Dock is a historic dock in Liverpool, England, that formed part of the city’s former commercial port and is now central to its waterfront heritage and tourism area.
  • E. Victoria Dock
    Victoria Dock is a harbour facility in Hartlepool, England, forming part of the town’s historic port and maritime infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562eb06b481908ef9efdb976008f3 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.