Triple

T20948549
Position Surface form Disambiguated ID Type / Status
Subject Devecser E515914 entity
Predicate hasCleanupOperation P103778 FINISHED
Object environmental remediation after 2010 disaster 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: environmental remediation after 2010 disaster | Statement: [Devecser, hasCleanupOperation, environmental remediation after 2010 disaster]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCleanupOperation
Context triple: [Devecser, hasCleanupOperation, environmental remediation after 2010 disaster]
  • A. cleanupOperation chosen
    Indicates an action where an entity removes, resets, or tidies up residual data, resources, or state after a process or event has completed.
  • B. hasNotableOperation
    Indicates that an entity is associated with a significant or noteworthy operation, activity, or procedure.
  • C. hasGlobalOperations
    Indicates that an entity conducts its activities or services across multiple countries or worldwide.
  • D. hasGlobalOperationsIn
    Indicates that an entity conducts business or operational activities across multiple countries within the specified region or location.
  • E. hasOperationsIn
    Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadab7708190bb3a10bdd3f32d90 completed April 21, 2026, 4:19 a.m.
PD Predicate disambiguation batch_69e5c9b1bae48190a845165fed1b005e completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 1:10 p.m.