Triple

T26138086
Position Surface form Disambiguated ID Type / Status
Subject منف E659435 entity
Predicate عبد_فيها P159987 FINISHED
Object أوزير
أوزير هو إله مصري قديم مرتبط بالحياة الآخرة والبعث، عُبد على نطاق واسع في مصر القديمة بما في ذلك مدينة منف.
 E1730449 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: أوزير | Statement: [منف, عبد_فيها, أوزير]
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: أوزير
Triple: [منف, عبد_فيها, أوزير]
Generated description
أوزير هو إله مصري قديم مرتبط بالحياة الآخرة والبعث، عُبد على نطاق واسع في مصر القديمة بما في ذلك مدينة منف.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: عبد_فيها
Context triple: [منف, عبد_فيها, أوزير]
  • A. عبد_فيها chosen
    Indicates that an entity worships, serves, or shows devoted obedience within or in the context of something (e.g., a place, system, or situation).
  • B. نوقشفي
    Indicates that something or someone was discussed or debated within a particular context or setting.
  • C. دين_غالب
    Indicates that one religion or belief system dominates, prevails over, or is victorious against another.
  • D. هاجر_إليها
    Indicates that an entity migrated or moved to another entity (typically a place) as its destination.
  • E. المالك
    Indicates a relationship where one entity is the owner or possessor of another entity.
  • 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_6a11c7eda7f08190ac8074cab2dfbe57 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8bf3ee08190964adc437235340b completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c981c70c8190bfe0da42958fa494 completed May 23, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69f602d07590819085ac34b189613104 completed May 2, 2026, 1:57 p.m.
Created at: April 26, 2026, 8:18 p.m.