Triple

T22110126
Position Surface form Disambiguated ID Type / Status
Subject Sikandar Raza E546389 entity
Predicate hasShirtNumberODI P129901 FINISHED
Object 24 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: 24 | Statement: [Sikandar Raza, hasShirtNumberODI, 24]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShirtNumberODI
Context triple: [Sikandar Raza, hasShirtNumberODI, 24]
  • A. shirtNumberODI chosen
    Indicates the jersey number a player wears in One Day International (ODI) cricket matches.
  • B. hasShirtNumberRole
    Indicates that an entity holds a specific shirt number assignment or role, typically within a team or roster context.
  • C. jerseyNumber
    Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
  • D. hasDressNumber
    Indicates that an entity (typically a player or performer) is associated with a specific dress or jersey number.
  • E. representedCountryInODI
    Indicates that one entity has played One Day International (ODI) cricket as a representative of the specified country.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12948c2ec819083340787b2062649 completed April 28, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69e71b2ed7348190b6fa2e52f54393fb completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:30 p.m.