Triple

T36831810
Position Surface form Disambiguated ID Type / Status
Subject Poolville Cemetery E910160 entity
Predicate burialPopulationScope P135783 FINISHED
Object local residents LITERAL 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: local residents | Statement: [Poolville Cemetery, burialPopulationScope, local residents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: burialPopulationScope
Context triple: [Poolville Cemetery, burialPopulationScope, local residents]
  • A. hasBurialPopulation chosen
    Indicates that a burial site or context contains or is associated with a specified number or group of interred individuals.
  • B. burialGroundCapacity
    Indicates the maximum number of burials or remains that a burial ground is designed or allowed to accommodate.
  • C. numberOfBurials
    Indicates the total count of burial events associated with a given entity.
  • D. periodOfBurial
    Indicates the time period or date range during which the burial of an entity took place.
  • E. hasBurialsFrom
    Indicates that a location or site contains burials originating from a specified time period, culture, or source.
  • F. None of above.

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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:13 p.m.