Triple

T13582983
Position Surface form Disambiguated ID Type / Status
Subject سورة الطارق E324469 entity
Predicate عدد_الكلمات P7605 FINISHED
Object 61 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: 61 | Statement: [سورة الطارق, عدد_الكلمات, 61]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: عدد_الكلمات
Context triple: [سورة الطارق, عدد_الكلمات, 61]
  • A. wordCount chosen
    Indicates the total number of words contained in a given text or linguistic unit.
  • B. wordLength
    Indicates that there is a relationship specifying the number of characters (length) in a given word.
  • C. lengthInWords
    Indicates the number of words that make up the length of something, typically a text or expression.
  • D. nameLengthInWords
    Indicates the number of words that make up an entity’s name.
  • E. hasApproximateNumberOfLetters
    Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb031e8048190a5f2ea934308036c completed April 12, 2026, 2:46 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:49 p.m.