Triple

T38189463
Position Surface form Disambiguated ID Type / Status
Subject Quran 83:18 E1005411 entity
Predicate grammaticalOpening P190274 FINISHED
Object particle Kalla (كَلَّا) 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: particle Kalla (كَلَّا) | Statement: [Quran 83:18, grammaticalOpening, particle Kalla (كَلَّا)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grammaticalOpening
Context triple: [Quran 83:18, grammaticalOpening, particle Kalla (كَلَّا)]
  • A. openingVerb
    Indicates that an entity performs the initial or primary action that begins an event, process, or interaction.
  • B. grammaticalStructure
    Indicates the way linguistic elements are organized and related within a sentence or phrase according to grammatical rules.
  • C. grammaticalDescription
    Indicates that one entity provides a description or explanation of the grammatical properties or structure of another entity.
  • D. grammaticalType
    Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
  • E. grammaticalForm
    Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
  • 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_69f76dbd22f48190940318cea061e8bb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcc42cbac48190b8d3e4c9ce140838 completed May 7, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69fcb0fc69c88190800453eb57a7e62c completed May 7, 2026, 3:34 p.m.
PDg Predicate description generation batch_69fcc42b9334819099929649b7ef68ea completed May 7, 2026, 4:56 p.m.
Created at: May 3, 2026, 4:29 p.m.