Triple

T19910563
Position Surface form Disambiguated ID Type / Status
Subject Trails of Africa E478534 entity
Predicate simulatesHabitat P30763 FINISHED
Object African savanna ecosystem 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: African savanna ecosystem | Statement: [Trails of Africa, simulatesHabitat, African savanna ecosystem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: simulatesHabitat
Context triple: [Trails of Africa, simulatesHabitat, African savanna ecosystem]
  • A. simulatesHabitatOf chosen
    Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
  • B. featuresHabitat
    Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
  • C. usesHabitatFeature
    Indicates that an organism makes use of a particular habitat feature (such as a structure, resource, or microhabitat) as part of its behavior or life history.
  • D. hasHabitatQuality
    Indicates that an entity (such as a habitat or location) possesses a certain level or characteristic of habitat quality relevant to another entity or ecological context.
  • E. hasNearbyHabitats
    Indicates that one entity has other habitats located close to it in geographic or spatial terms.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598f31c481908a5a1d9a5656f698 completed April 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69e537ecda248190895c96afb6243823 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.