Triple

T29517357
Position Surface form Disambiguated ID Type / Status
Subject سیاست‌های کلی نظام E748834 entity
Predicate consultedWith P98683 FINISHED
Object مجمع تشخیص مصلحت نظام
مجمع تشخیص مصلحت نظام نهادی عالی‌رتبه در ساختار سیاسی جمهوری اسلامی ایران است که در حل اختلاف میان مجلس و شورای نگهبان و نیز در تدوین و پیشنهاد سیاست‌های کلان کشور نقش اساسی دارد.
 E1871965 NE FINISHED

How this triple was built (3 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: مجمع تشخیص مصلحت نظام | Statement: [سیاست‌های کلی نظام, consultedWith, مجمع تشخیص مصلحت نظام]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: مجمع تشخیص مصلحت نظام
Triple: [سیاست‌های کلی نظام, consultedWith, مجمع تشخیص مصلحت نظام]
Generated description
مجمع تشخیص مصلحت نظام نهادی عالی‌رتبه در ساختار سیاسی جمهوری اسلامی ایران است که در حل اختلاف میان مجلس و شورای نگهبان و نیز در تدوین و پیشنهاد سیاست‌های کلان کشور نقش اساسی دارد.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: consultedWith
Context triple: [سیاست‌های کلی نظام, consultedWith, مجمع تشخیص مصلحت نظام]
  • A. consulted
    Indicates that one entity sought advice, information, or guidance from another entity.
  • B. consultsOn
    Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
  • C. consultedWhen
    Indicates that one entity is consulted at a particular time or under specific temporal conditions relative to another entity or event.
  • D. consultedOrganization chosen
    Indicates that one entity sought advice, guidance, or information from an organization.
  • E. requiresConsultationWith
    Indicates that performing an action or making a decision depends on first obtaining input, approval, or advice from a specified party.
  • F. None of above.

Provenance (6 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_69f0bd461c208190bec20bbf24e02cc5 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66c643a2081908032a3fc8d9a0cdd completed May 2, 2026, 9:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c26fad081909983f110aaba0c54 completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a2611d63328819086c5a27ccf3586eb completed June 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a2615faed10819083662734f71731ae completed June 8, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69f6633ac8a88190ab0cda62bbfcf9b0 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 4:38 p.m.