Triple

T24021232
Position Surface form Disambiguated ID Type / Status
Subject Italian Open E594825 entity
Predicate cutImplementedAfterRound P25030 FINISHED
Object 2 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: 2 | Statement: [Italian Open, cutImplementedAfterRound, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cutImplementedAfterRound
Context triple: [Italian Open, cutImplementedAfterRound, 2]
  • A. hasCutAfterRound chosen
    Indicates that an entity is eliminated or removed from participation after a specified round.
  • B. cutBy
    Indicates that one entity is divided, severed, or shaped as a result of another entity performing a cutting action on it.
  • C. reachedRound
    Indicates that an entity has advanced to or attained a particular round or stage within a process, event, or competition.
  • D. cutOff
    Indicates that one entity causes another entity to be disconnected, interrupted, or severed from a source, flow, or continuation.
  • E. hasProperRounds
    Indicates that an entity is associated with rounds that meet specified standards or criteria for being considered proper or valid.
  • 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_69e288be2c288190a3a46006945557f7 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5aaf8588190b266557d573504b8 completed April 29, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:47 p.m.