Triple

T10651943
Position Surface form Disambiguated ID Type / Status
Subject Royal Hall E250990 entity
Predicate hasName P744 FINISHED
Object Royal Hall E250990 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: Royal Hall | Statement: [Royal Hall, hasName, Royal Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Hall
Context triple: [Royal Hall, hasName, Royal Hall]
  • A. Royal Hall
    Royal Hall is the English name for the historic Sala Regia, a grand ceremonial chamber traditionally used for important official and state functions.
  • B. Royal Hall chosen
    Royal Hall is a historic Edwardian theatre and concert hall in Harrogate, England, renowned for its ornate architecture and role as a major cultural venue in the town.
  • C. Majestic Hall
    Majestic Hall was the original name of the historic San Francisco music venue now known as the Fillmore Auditorium.
  • D. Coronation Hall
    Coronation Hall is the grand ceremonial chamber within Aachen Town Hall historically used for imperial coronation banquets and important civic events.
  • E. Coronation Hall
    Coronation Hall is a prominent theatre and arts venue in the market town of Ulverston in Cumbria, England.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff6ba688190b493689d60f616e0 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d988530f288190b8150d159f723a74 completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:06 p.m.