Triple

T5331373
Position Surface form Disambiguated ID Type / Status
Subject Chagos Marine Protected Area E123315 entity
Predicate degreeOfHumanImpact P11752 FINISHED
Object largely undisturbed 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: largely undisturbed | Statement: [Chagos Marine Protected Area, degreeOfHumanImpact, largely undisturbed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: degreeOfHumanImpact
Context triple: [Chagos Marine Protected Area, degreeOfHumanImpact, largely undisturbed]
  • A. humanImpact chosen
    Indicates the effect or influence that human activities have on another entity, system, or environment.
  • B. impactOnHumans
    Indicates a relationship where something produces an effect, influence, or consequence on humans.
  • C. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • D. conservationImpact
    Indicates the effect that an action, policy, or entity has on the preservation, protection, or restoration of natural ecosystems and biodiversity.
  • E. environmentalSignificance
    Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85969cc88190a3a5efbab7d9fe86 completed March 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69bd84583dbc819088a03e3afb30178c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2 p.m.