Triple

T35874675
Position Surface form Disambiguated ID Type / Status
Subject Quran 19:7 E1037325 entity
Predicate givesGoodNewsOf P137323 FINISHED
Object a boy 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: a boy | Statement: [Quran 19:7, givesGoodNewsOf, a boy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: givesGoodNewsOf
Context triple: [Quran 19:7, givesGoodNewsOf, a boy]
  • A. broughtNewsOf chosen
    Indicates that one entity conveyed or delivered information or news about another entity or event to a recipient.
  • B. offersNewscasts
    Indicates that one entity provides or broadcasts news programs or newscast content to another or to an audience.
  • C. announcedThat
    Indicates that one entity publicly communicated or declared a specific fact, decision, or piece of information about another entity or situation.
  • D. notableStory
    Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
  • E. providesInformationIn
    Indicates that one entity supplies or conveys information within or through another entity or context.
  • 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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa3883d48190b05e3d2da7a017ae completed May 3, 2026, 8:04 p.m.
PD Predicate disambiguation batch_69f7a8d435288190b30b1991fb003121 completed May 3, 2026, 7:58 p.m.
Created at: May 3, 2026, 4:06 p.m.