Triple

T14054376
Position Surface form Disambiguated ID Type / Status
Subject Al-Hikmah University E338174 entity
Predicate hasValueOrientation P39727 FINISHED
Object moral discipline 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: moral discipline | Statement: [Al-Hikmah University, hasValueOrientation, moral discipline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasValueOrientation
Context triple: [Al-Hikmah University, hasValueOrientation, moral discipline]
  • A. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • B. valueOrientation chosen
    Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
  • C. hasFieldOrientation
    Indicates that one entity has a specified directional or spatial orientation relative to a field (such as magnetic, electric, or visual field).
  • D. hasPolicyOrientation
    Indicates that one entity (such as an organization, document, or actor) is characterized by or aligned with a particular policy stance, direction, or focus.
  • E. hasRegionalOrientation
    Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
PD Predicate disambiguation batch_69de05adef888190b023ab42ef5076b6 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.