Triple

T17271399
Position Surface form Disambiguated ID Type / Status
Subject Roseland E419268 entity
Predicate historicalName P65 FINISHED
Object Hope E113156 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: Hope | Statement: [Roseland, historicalName, Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope
Context triple: [Roseland, historicalName, Hope]
  • A. Hope
    Hope is the famous blue whale skeleton suspended in the main hall of London’s Natural History Museum, serving as an iconic centerpiece and symbol of conservation.
  • B. Hope chosen
    Hope is a small village in the Peak District of Derbyshire, England, known for its scenic surroundings and role as a local tourist and walking hub.
  • C. Hope
    "Hope" is a popular hip hop single by Twista featuring Faith Evans that reflects on struggle, resilience, and aspirations for a better future.
  • D. Hope
    Hope is a small town in southwestern British Columbia, Canada, known as a key transportation hub at the eastern end of the Fraser Valley and the gateway to several major highways through the mountains.
  • E. Hope
    Hope is an EP whose title track and overall theme center on optimism and emotional resilience.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4a3c4c81908a28c9f8bdf648ca completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794d605481908b5e430c3142c203 completed May 11, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:40 a.m.