Triple

T3103324
Position Surface form Disambiguated ID Type / Status
Subject Sheen Palace E64770 entity
Predicate locatedNear P294 FINISHED
Object Richmond E333581 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: Richmond | Statement: [Sheen Palace, locatedNear, Richmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richmond
Context triple: [Sheen Palace, locatedNear, Richmond]
  • A. Richmond
    Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
  • B. Richmond
    Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
  • C. Richmond
    Richmond is a masculine given name of English origin that has been borne by various notable figures, including military leaders and public officials.
  • D. Richmond
    Richmond is a coastal city in Metro Vancouver, British Columbia, known for its large Asian community, busy international airport, and extensive dike-protected waterfront.
  • E. Richmond chosen
    Richmond is a historic market town in North Yorkshire, England, known for its Norman castle, cobbled marketplace, and scenic location on the River Swale.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b732a05c81908fea7f9292ba87d5 completed March 14, 2026, 7:29 p.m.
Created at: March 8, 2026, 3:03 p.m.