Triple

T8859787
Position Surface form Disambiguated ID Type / Status
Subject Buff Wyandotte E210856 entity
Predicate isFriendlyWithChildren P47150 FINISHED
Object often 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: often | Statement: [Buff Wyandotte, isFriendlyWithChildren, often]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isFriendlyWithChildren
Context triple: [Buff Wyandotte, isFriendlyWithChildren, often]
  • A. isFamilyFriendly
    Indicates that something is suitable for all ages and does not contain content inappropriate for children or sensitive audiences.
  • B. goodWithChildren chosen
    Indicates that an entity interacts with, behaves around, or cares for children in a positive, safe, and appropriate manner.
  • C. childrenWith
    Indicates that two or more entities share one or more children together as parents or guardians.
  • D. usedForYoungerChildren
    Indicates that something is intended or suitable for use by younger children rather than older children or adults.
  • E. familyControlled
    Indicates that an entity is owned or effectively governed by one or more members of the same family, who hold decisive control over its decisions or operations.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e712d08190bfb1c4ba3acaea90 completed April 1, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69cc5c279ea481908c71756f694b66bf completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:50 p.m.