Triple

T11119884
Position Surface form Disambiguated ID Type / Status
Subject Minamata, Kumamoto Prefecture, Japan E262987 entity
Predicate pollutionMedium P31092 FINISHED
Object marine environment 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: marine environment | Statement: [Minamata, Kumamoto Prefecture, Japan, pollutionMedium, marine environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pollutionMedium
Context triple: [Minamata, Kumamoto Prefecture, Japan, pollutionMedium, marine environment]
  • A. environmentalMedium chosen
    Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
  • B. pollutionSource
    Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
  • C. pollutant
    Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
  • D. targetPollutant
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • E. pollutantsCovered
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af7b72c8190a19dbcbb3a69fb5b completed April 9, 2026, 12:26 p.m.
PD Predicate disambiguation batch_69d7441efe948190ae4ab020121e169d completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:28 p.m.