Triple

T18570725
Position Surface form Disambiguated ID Type / Status
Subject Aravinda de Silva E453865 entity
Predicate odiCapNumberForSriLanka P23197 FINISHED
Object 40 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: 40 | Statement: [Aravinda de Silva, odiCapNumberForSriLanka, 40]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: odiCapNumberForSriLanka
Context triple: [Aravinda de Silva, odiCapNumberForSriLanka, 40]
  • A. odiCapNumber chosen
    Indicates the unique sequential cap number assigned to a player for their debut in One Day International (ODI) cricket.
  • B. t20iCapNumber
    Indicates that an entity has a specific cap number (e.g., a player’s official cap or appearance number) assigned to it.
  • C. testCapNumberForWestIndies
    Indicates the assigned cap number used to identify a player who has represented the West Indies cricket team.
  • D. imoNumber
    Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
  • E. operatorCapacity
    Indicates the maximum workload or volume of tasks that an operator is able to handle within a given context or time frame.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b01331c8190bec3aba40358a843 completed April 19, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69e478c16e0c8190b03966aa23c395a6 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:43 a.m.