Triple

T31601522
Position Surface form Disambiguated ID Type / Status
Subject Quillaja E806359 entity
Predicate barkHarvestingImpact P99638 FINISHED
Object can damage or kill trees if unsustainably harvested 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: can damage or kill trees if unsustainably harvested | Statement: [Quillaja, barkHarvestingImpact, can damage or kill trees if unsustainably harvested]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: barkHarvestingImpact
Context triple: [Quillaja, barkHarvestingImpact, can damage or kill trees if unsustainably harvested]
  • A. barkHarvestingEffect chosen
    Indicates the impact that harvesting bark has on the condition, health, or characteristics of the affected entity.
  • B. barkHarvestingMethod
    Indicates the method or technique used to harvest bark from a tree or plant.
  • C. conservationImpact
    Indicates the effect that an action, policy, or entity has on the preservation, protection, or restoration of natural ecosystems and biodiversity.
  • D. barkUsedFor
    Indicates that the bark of something is utilized for a particular purpose or function.
  • E. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a86aecd48190b0f9e9fcb4cab449 completed May 3, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:33 p.m.