Triple

T1296239
Position Surface form Disambiguated ID Type / Status
Subject Maliki school E27659 entity
Predicate primarySourceEmphasis P2562 FINISHED
Object practice of the people of Medina 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: practice of the people of Medina | Statement: [Maliki school, primarySourceEmphasis, practice of the people of Medina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySourceEmphasis
Context triple: [Maliki school, primarySourceEmphasis, practice of the people of Medina]
  • A. primarySources
    Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
  • B. primaryTopicOf
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • C. primaryFront
    Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
  • D. primaryMedium
    Indicates the main material, format, or channel through which something is created, expressed, or communicated.
  • E. primaryAlignment chosen
    Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.