Triple

T16060145
Position Surface form Disambiguated ID Type / Status
Subject Flix E389585 entity
Predicate hasCleanupProject P104199 FINISHED
Object Flix reservoir decontamination project 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: Flix reservoir decontamination project | Statement: [Flix, hasCleanupProject, Flix reservoir decontamination project]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCleanupProject
Context triple: [Flix, hasCleanupProject, Flix reservoir decontamination project]
  • A. cleanupProject chosen
    Indicates performing actions to remove unnecessary, temporary, or obsolete elements from a project to restore it to a clean, organized state.
  • B. hasProject
    Indicates that an entity is associated with or responsible for a particular project.
  • C. hasProjectIn
    Indicates that an entity is involved with or associated with a project that takes place within a specified location or context.
  • D. wasOngoingProjectUntil
    Indicates that an activity or project was in progress and continued up to a specified end time or event.
  • E. hasSubproject
    Indicates that a project includes another project as a subordinate or component part within its overall structure.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
PD Predicate disambiguation batch_69e18272f2288190a17d45fb01cc2b07 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.