Triple

T10476599
Position Surface form Disambiguated ID Type / Status
Subject Adikavi E247058 entity
Predicate adiMeans P637 FINISHED
Object first 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: first | Statement: [Adikavi, adiMeans, first]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: adiMeans
Context triple: [Adikavi, adiMeans, first]
  • A. aka
    Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
  • B. aria
    Indicates that an entity is associated with ARIA (Accessible Rich Internet Applications) attributes or roles that define how it should be interpreted by assistive technologies.
  • C. ally
    Indicates a cooperative relationship in which one entity supports, assists, or aligns with another, often for mutual benefit or a shared goal.
  • D. is chosen
    Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
  • E. isADROf
    Indicates a relationship where one entity serves as the Authorized Designated Responsible Officer (ADRO) for another entity, typically bearing formal oversight or accountability on its behalf.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095021e081908dfaa467938c13fd completed April 7, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69d4fb84bafc8190819757b93620508a completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:21 p.m.