Triple

T4011861
Position Surface form Disambiguated ID Type / Status
Subject African Veldt E90661 entity
Predicate mayIncludeFeature P53912 FINISHED
Object interpretive signage about African species 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: interpretive signage about African species | Statement: [African Veldt, mayIncludeFeature, interpretive signage about African species]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayIncludeFeature
Context triple: [African Veldt, mayIncludeFeature, interpretive signage about African species]
  • A. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • B. mayPresent
    Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
  • C. mayExtendTo
    Indicates that something has the potential or permission to reach, continue, or be applied up to a specified limit, scope, or boundary.
  • D. isFeatureBased
    Indicates that one entity is derived from, determined by, or constructed using the characteristics or attributes of another entity.
  • E. mayReject
    Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
  • F. None of above. chosen

Provenance (4 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaec08dc8190a341809059554f84 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fa6fec81909b1190ecbba61410 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefaea76c48190add2e7cee180e8b1 completed March 9, 2026, 4:52 p.m.
Created at: March 9, 2026, 3:34 p.m.