Triple

T18623481
Position Surface form Disambiguated ID Type / Status
Subject Maspeth E455214 entity
Predicate hasLandmark P105 FINISHED
Object Mount Olivet 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: Mount Olivet Cemetery | Statement: [Maspeth, hasLandmark, Mount Olivet Cemetery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Olivet Cemetery
Context triple: [Maspeth, hasLandmark, Mount Olivet Cemetery]
  • A. Mount Olivet Cemetery chosen
    Mount Olivet Cemetery is a historic burial ground in Queens, New York City, known for its 19th-century origins and notable interments.
  • B. Mount Olivet Cemetery
    Mount Olivet Cemetery is a historic burial ground in Salt Lake City, Utah, known for being the resting place of numerous prominent local and national figures.
  • C. Mount Olivet Cemetery
    Mount Olivet Cemetery is a burial ground located in Catonsville, Maryland, serving as a historic local cemetery for the surrounding community.
  • D. 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.
  • E. 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.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f02dc248190a82341eeb2473593 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.