Triple

T18399104
Position Surface form Disambiguated ID Type / Status
Subject Anushtubh meter E449943 entity
Predicate hasCommonForm P169 FINISHED
Object 4x8-syllable shloka form 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: 4x8-syllable shloka form | Statement: [Anushtubh meter, hasCommonForm, 4x8-syllable shloka form]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommonForm
Context triple: [Anushtubh meter, hasCommonForm, 4x8-syllable shloka form]
  • A. hasForm chosen
    Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
  • B. hasFullForm
    Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
  • C. hasComponentForm
    Indicates that one entity exists as a structural or compositional form or variant of another entity.
  • D. hasTraditionalFormIn
    Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
  • E. hasFormFor
    Indicates that one entity possesses or provides a specific form or document intended to be used by another entity or for a particular purpose.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518499b1481909c5de786c48faeba completed April 19, 2026, 6 p.m.
PD Predicate disambiguation batch_69e44ff1f92c8190afbb8e85d12bf2a9 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:46 a.m.