Triple

T7916763
Position Surface form Disambiguated ID Type / Status
Subject El Quimbo Dam E183845 entity
Predicate hasEnvironmentalLicense P12714 FINISHED
Object yes 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: yes | Statement: [El Quimbo Dam, hasEnvironmentalLicense, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalLicense
Context triple: [El Quimbo Dam, hasEnvironmentalLicense, yes]
  • A. hasEnvironmentalCertification
    Indicates that an entity possesses a recognized environmental certification or accreditation attesting to its compliance with specified environmental standards or practices.
  • B. hasEnvironmentalRegulationCompliance
    Indicates that an entity adheres to or fulfills applicable environmental regulations, standards, or compliance requirements.
  • C. hasEnvironmentalControl
    Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
  • D. hasLicense chosen
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • E. hasEnvironmentalManagementPlan
    Indicates that an entity has established and maintains a formal plan for managing, monitoring, and mitigating its environmental impacts.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8e8b388190b5544eb5b8159e07 completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:05 p.m.