Triple

T13834326
Position Surface form Disambiguated ID Type / Status
Subject Huangyan Dao E332484 entity
Predicate environmentIssue P1006 FINISHED
Object overfishing 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: overfishing | Statement: [Huangyan Dao, environmentIssue, overfishing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentIssue
Context triple: [Huangyan Dao, environmentIssue, overfishing]
  • A. environmentalIssue chosen
    Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
  • B. shareEnvironmentalIssues
    Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
  • C. environmentalIssueAddressed
    Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
  • D. environmentAuthority
    Indicates that an entity has official regulatory or supervisory power over environmental matters affecting another entity or area.
  • E. environmentalFocus
    Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:13 p.m.