Triple

T31126735
Position Surface form Disambiguated ID Type / Status
Subject Shako:wi Cultural Center E793378 entity
Predicate focusesOnPreservationOf P14039 FINISHED
Object Oneida cultural heritage 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: Oneida cultural heritage | Statement: [Shako:wi Cultural Center, focusesOnPreservationOf, Oneida cultural heritage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnPreservationOf
Context triple: [Shako:wi Cultural Center, focusesOnPreservationOf, Oneida cultural heritage]
  • A. preservationFocus chosen
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • B. aimsToPreserve
    Indicates an intention or effort by one entity to maintain, protect, or keep another entity in its current or desired state.
  • C. believedToPreserve
    Indicates that something is thought or assumed to maintain, protect, or keep another thing in its original or desired state.
  • D. preservationPurpose
    Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
  • E. preservationFunction
    Indicates that one entity serves to maintain, protect, or keep another entity in its original or intended state over time.
  • 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_69f224d1701c819094f429798290e361 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f79f48acec8190a9d5964581a94f6c completed May 3, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
Created at: April 29, 2026, 9:05 p.m.