Triple

T37639702
Position Surface form Disambiguated ID Type / Status
Subject Payatas E936580 entity
Predicate hasPublicIssue P136718 FINISHED
Object solid waste management 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: solid waste management | Statement: [Payatas, hasPublicIssue, solid waste management]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicIssue
Context triple: [Payatas, hasPublicIssue, solid waste management]
  • A. hasRecentIssue
    Indicates that an entity is associated with an issue or problem that has occurred within a recent or specified time frame.
  • B. hasOngoingIssues chosen
    Indicates that an entity is currently experiencing unresolved or continuing problems or difficulties.
  • C. hasIssueWith
    Indicates that one entity experiences a problem, conflict, or concern related to another entity.
  • D. hasNotableIssue
    Indicates that an entity is associated with a significant problem, concern, or defect that is noteworthy or exceptional compared to typical cases.
  • E. hasInternalIssue
    Indicates that an entity is experiencing a problem, fault, or malfunction originating within itself or its internal components or processes.
  • 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_69f76ed31d8881908405da6c6d2f0463 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fccdd496048190bca801a8a9eecb62 completed May 7, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:18 p.m.