Triple

T22920386
Position Surface form Disambiguated ID Type / Status
Subject Hotel Bell Rock E568843 entity
Predicate name P16 FINISHED
Object Hotel Bell Rock 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: Hotel Bell Rock | Statement: [Hotel Bell Rock, name, Hotel Bell Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel Bell Rock
Context triple: [Hotel Bell Rock, name, Hotel Bell Rock]
  • A. Hotel Bell Rock chosen
    Hotel Bell Rock is a New England–themed resort hotel located within the Europa-Park theme park complex in Rust, Germany.
  • B. Denman Hotel
    Denman Hotel is a historically significant hotel in Denman, New South Wales, recognized for its heritage value and contribution to the town’s cultural and architectural character.
  • C. Chelsea Harbour Hotel
    Chelsea Harbour Hotel is a luxury waterfront hotel in London’s Chelsea Harbour, known for its suites, marina views, and upscale amenities.
  • D. Lakeview Hotel
    Lakeview Hotel is a fictional lodging establishment featured within the setting of Oakdale.
  • E. The Royal Hotel
    The Royal Hotel is a 2023 psychological thriller film in which Jessica Henwick stars as one of two backpackers working in a remote Australian pub where tensions escalate into menace.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d40f98819096210c097b47d43b completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:42 p.m.