Triple

T36432498
Position Surface form Disambiguated ID Type / Status
Subject Australian Championships E897479 entity
Predicate notableSurfaceChange P13888 FINISHED
Object transition from grass to hard courts at Melbourne Park 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: transition from grass to hard courts at Melbourne Park | Statement: [Australian Championships, notableSurfaceChange, transition from grass to hard courts at Melbourne Park]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableSurfaceChange
Context triple: [Australian Championships, notableSurfaceChange, transition from grass to hard courts at Melbourne Park]
  • A. notableChange chosen
    Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
  • B. notableSurface
    Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
  • C. surfaceChange
    Indicates a change in the physical surface characteristics or condition of an entity over time or due to some event or interaction.
  • D. notableCategoryChange
    Indicates a significant shift in the classification or category assigned to an entity over time.
  • E. notableGUIChange
    Indicates a significant modification or redesign in a system’s graphical user interface compared to its previous state.
  • 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_69f76e56636481908eda808ab0273401 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.