Triple

T30818919
Position Surface form Disambiguated ID Type / Status
Subject بلاد الشام E784861 entity
Predicate ارتبط_ب P125958 FINISHED
Object طريق الحرير
طريق الحرير هو شبكة طرق تجارية تاريخية ربطت بين الشرق والغرب وأسهمت في تبادل السلع والثقافات والحضارات عبر آسيا وأوروبا وأفريقيا.
 E1932836 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: طريق الحرير | Statement: [بلاد الشام, ارتبط_ب, طريق الحرير]
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: طريق الحرير
Triple: [بلاد الشام, ارتبط_ب, طريق الحرير]
Generated description
طريق الحرير هو شبكة طرق تجارية تاريخية ربطت بين الشرق والغرب وأسهمت في تبادل السلع والثقافات والحضارات عبر آسيا وأوروبا وأفريقيا.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ارتبط_ب
Context triple: [بلاد الشام, ارتبط_ب, طريق الحرير]
  • A. повʼязанеЗ
    Indicates a general association or connection between one entity and another.
  • B. associatedThrough
    Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
  • C. relatedPass
    Indicates that one pass is associated with or connected to another pass in some relevant way.
  • D. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • E. مرتبطب chosen
    Indicates a relationship of being connected, associated, or related to something or someone.
  • 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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6906b8f048190b3051f9ece75bd3a completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbe5a41481908df831b3362acac4 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bca6faf881908b5254e8071d33fe completed June 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd2670f08190a759af462117aec1 completed June 10, 2026, 1:25 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:44 p.m.