Triple

T35060492
Position Surface form Disambiguated ID Type / Status
Subject منطقة تل مجيدو الأثرية E1011577 entity
Predicate مرتبطة_بمصطلح P37 FINISHED
Object هرمجدون
هرمجدون هو مصطلح ديني يرتبط في المعتقدات الإبراهيمية بالمعركة النهائية في آخر الزمان بين قوى الخير والشر.
 E2124181 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: هرمجدون | Statement: [منطقة تل مجيدو الأثرية, مرتبطة_بمصطلح, هرمجدون]
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: هرمجدون
Triple: [منطقة تل مجيدو الأثرية, مرتبطة_بمصطلح, هرمجدون]
Generated description
هرمجدون هو مصطلح ديني يرتبط في المعتقدات الإبراهيمية بالمعركة النهائية في آخر الزمان بين قوى الخير والشر.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: مرتبطة_بمصطلح
Context triple: [منطقة تل مجيدو الأثرية, مرتبطة_بمصطلح, هرمجدون]
  • A. relatedToTerm
    Indicates a general, non-specific relationship or association between one term and another.
  • B. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • C. meaningIsRelatedTo
    Indicates that one concept has a semantic or contextual connection to another concept without specifying the exact nature of that relationship.
  • D. relatedTo chosen
    Indicates a general, non-specific relationship or association exists between two entities.
  • E. phraseAssociation
    Indicates an associative relationship where one phrase is linked, connected, or contextually related to another phrase.
  • 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_69f76dd09c308190a523454853ce842b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7860a1154819088c0faac06bc3852 completed May 3, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c63e6cc88190b9183b5081770e87 completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37c778b2ac8190ae46d6b1f6b870ac completed June 21, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a37c7f9d97881909b4dad33937931dd completed June 21, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f7841812f081909d878955d114088e completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.