Triple

T3181117
Position Surface form Disambiguated ID Type / Status
Subject Isar E66587 entity
Predicate hasRiverRestorationProjects P11189 FINISHED
Object Munich section 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: Munich section | Statement: [Isar, hasRiverRestorationProjects, Munich section]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiverRestorationProjects
Context triple: [Isar, hasRiverRestorationProjects, Munich section]
  • A. hasRiverActivity
    Indicates that an entity engages in, supports, or is associated with activities occurring on or along a river.
  • B. hasHydroelectricProject
    Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
  • C. hasLandReclamation
    Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
  • D. hasConservationProgram
    Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
  • E. hasRestorationActivities chosen
    Indicates that an entity carries out, is involved in, or is associated with actions aimed at restoring or rehabilitating another entity or resource.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6a1280c8190b59a2afd30312c02 completed March 8, 2026, 4:41 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.