Triple

T4198910
Position Surface form Disambiguated ID Type / Status
Subject Skyrail Rainforest Cableway E86018 entity
Predicate operatesInEcosystem P54308 FINISHED
Object tropical rainforest 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: tropical rainforest | Statement: [Skyrail Rainforest Cableway, operatesInEcosystem, tropical rainforest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesInEcosystem
Context triple: [Skyrail Rainforest Cableway, operatesInEcosystem, tropical rainforest]
  • A. supportsEcosystemType
    Indicates that one entity provides suitable conditions or resources necessary to sustain or maintain a particular type of ecosystem.
  • B. supportsSoftwareEcosystem
    Indicates that one entity provides resources, compatibility, or infrastructure that enables another entity’s software ecosystem to function, grow, or be maintained.
  • C. roleInEcosystem
    Indicates the specific function or contribution an entity has within an ecosystem and how it interacts with other components of that system.
  • D. containsEcosystem
    Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
  • E. sharesEcosystemWith
    Indicates that two entities inhabit and interact within the same ecological system or environment.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af036243b4819097efe6b796823cd9 completed March 9, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69af01959c4881909eb1adcb3bdadbe6 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af02e4e2308190b527e3b78eb8fa71 completed March 9, 2026, 5:27 p.m.
Created at: March 9, 2026, 3:48 p.m.