Triple

T26138106
Position Surface form Disambiguated ID Type / Status
Subject منف E659435 entity
Predicate تضم_آثارًا P19329 FINISHED
Object سرابيوم العجول المقدسة في سقارة
سرابيوم العجول المقدسة في سقارة هو مجمع جنائزي أثري مخصص لدفن العجول المقدسة أبيس في مقابر ضخمة تحت الأرض بمنطقة سقارة الأثرية في مصر القديمة.
 E1711121 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: سرابيوم العجول المقدسة في سقارة | Statement: [منف, تضم_آثارًا, سرابيوم العجول المقدسة في سقارة]
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: سرابيوم العجول المقدسة في سقارة
Triple: [منف, تضم_آثارًا, سرابيوم العجول المقدسة في سقارة]
Generated description
سرابيوم العجول المقدسة في سقارة هو مجمع جنائزي أثري مخصص لدفن العجول المقدسة أبيس في مقابر ضخمة تحت الأرض بمنطقة سقارة الأثرية في مصر القديمة.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: تضم_آثارًا
Context triple: [منف, تضم_آثارًا, سرابيوم العجول المقدسة في سقارة]
  • A. نوع_آثار_مرتبط
    Indicates a relationship where one entity is associated with another through a specific type or category of related works or artifacts.
  • B. archaeologicalFindsInclude chosen
    Indicates that the set of archaeological finds at a site or context contains or encompasses the specified items or types of artifacts.
  • C. hasArchaeologicalMaterial
    Indicates that an entity possesses, contains, or is associated with specific archaeological materials or artifacts.
  • D. relicsAssociatedWith
    Indicates a relationship where certain relics are connected or linked to a particular entity, context, or subject (such as a person, place, event, or tradition).
  • E. hasArchaeologicalFeature
    Indicates that an entity possesses, contains, or is associated with a specific archaeological feature or structure.
  • 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60be1d2408190820365bf7d8436bd completed May 2, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127667a6c8190a8ff5bc95fdedad3 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a114b4c88dc81909e4c49446d1394d0 completed May 23, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a114bae57248190ab262e9736dd2f61 completed May 23, 2026, 6:39 a.m.
PD Predicate disambiguation batch_69f5f7fd90fc81909055b211368f9139 completed May 2, 2026, 1:11 p.m.
Created at: April 26, 2026, 8:18 p.m.