Triple

T22124308
Position Surface form Disambiguated ID Type / Status
Subject Isaac Trimble E546752 entity
Predicate burialPlace P196 FINISHED
Object Green Mount Cemetery 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: Green Mount Cemetery | Statement: [Isaac Trimble, burialPlace, Green Mount Cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Mount Cemetery
Context triple: [Isaac Trimble, burialPlace, Green Mount Cemetery]
  • A. Green Mount Cemetery chosen
    Green Mount Cemetery is a historic 19th-century rural garden cemetery in Baltimore, Maryland, known as the burial place of many prominent figures including philanthropist Johns Hopkins.
  • B. Forest Hill Cemetery
    Forest Hill Cemetery is a historic burial ground that forms part of the larger Forest Hill Calvary Cemetery complex.
  • C. Calvary Cemetery
    Calvary Cemetery is a historic Roman Catholic burial ground in St. Louis, Missouri, known for its notable interments and expansive, park-like grounds.
  • D. Calvary Cemetery
    Calvary Cemetery is a historic Roman Catholic burial ground in Los Angeles, California, known as the final resting place of many notable local figures.
  • E. Greenlawn Cemetery
    Greenlawn Cemetery is a burial ground serving the community of Greenlawn in Suffolk County, Long Island, New York.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1298016e081909d00015ca516d9fd completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.