Triple

T14824581
Position Surface form Disambiguated ID Type / Status
Subject Cameron Smith E348537 entity
Predicate numberOfNRLGames P115971 FINISHED
Object 400+ 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: 400+ | Statement: [Cameron Smith, numberOfNRLGames, 400+]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfNRLGames
Context triple: [Cameron Smith, numberOfNRLGames, 400+]
  • A. premiershipsNRL
    Indicates the number of National Rugby League (NRL) premiership titles an entity has won.
  • B. wonNRLPremiership
    Indicates that an entity has achieved victory in the National Rugby League (NRL) premiership competition.
  • C. numberOfGamesScheduled
    Indicates the total count of games that have been planned or arranged for a given entity or time period.
  • D. numberOfBowlGamesPlayed
    Indicates the total count of bowl games that an entity (typically a sports team or player) has participated in.
  • E. numberOfBowlGamesScheduled
    Indicates the total count of bowl games that have been planned or scheduled for a given context or time period.
  • F. None of above. chosen

Provenance (4 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69de8c13418c819088ff9905ace1416a completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de90806f3881908fcbfec5bd4ab4d2 completed April 14, 2026, 7:07 p.m.
Created at: April 10, 2026, 1:51 a.m.