Triple

T9296933
Position Surface form Disambiguated ID Type / Status
Subject Arabsat E223660 entity
Predicate hasBrand P1500 FINISHED
Object Badr
Badr is a major communications satellite brand used by Arabsat to provide television broadcasting and telecommunication services across the Middle East and surrounding regions.
 E790512 NE FINISHED

How this triple was built (4 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: Badr | Statement: [Arabsat, hasBrand, Badr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badr
Context triple: [Arabsat, hasBrand, Badr]
  • A. Badr
    Badr is a town in western Saudi Arabia historically renowned as the site of the pivotal Battle of Badr in early Islamic history.
  • B. Az-Zumar
    Az-Zumar is the 39th chapter (sura) of the Qur’an, known for its emphasis on sincere worship of God alone and the contrast between the fates of believers and disbelievers.
  • C. al-Askar
    al-Askar was an early Islamic garrison town in Egypt that served as a military and administrative center near Fustat.
  • D. Ansar
    Ansar were the early Muslim inhabitants of Medina who supported and sheltered the Prophet Muhammad and his followers after their migration from Mecca.
  • E. Ansar
    Ansar were the devoted followers and military supporters of the Mahdist movement in Sudan during the late 19th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Badr
Triple: [Arabsat, hasBrand, Badr]
Generated description
Badr is a major communications satellite brand used by Arabsat to provide television broadcasting and telecommunication services across the Middle East and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badr
Target entity description: Badr is a major communications satellite brand used by Arabsat to provide television broadcasting and telecommunication services across the Middle East and surrounding regions.
  • A. Badr
    Badr is a town in western Saudi Arabia historically renowned as the site of the pivotal Battle of Badr in early Islamic history.
  • B. Az-Zumar
    Az-Zumar is the 39th chapter (sura) of the Qur’an, known for its emphasis on sincere worship of God alone and the contrast between the fates of believers and disbelievers.
  • C. al-Askar
    al-Askar was an early Islamic garrison town in Egypt that served as a military and administrative center near Fustat.
  • D. Ansar
    Ansar were the early Muslim inhabitants of Medina who supported and sheltered the Prophet Muhammad and his followers after their migration from Mecca.
  • E. Ansar
    Ansar were the devoted followers and military supporters of the Mahdist movement in Sudan during the late 19th century.
  • F. None of above. chosen

Provenance (5 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd089c9c588190967404c9eb938dfb completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b251c4148190a94fafdc23a601d6 completed April 4, 2026, 6:40 a.m.
NEDg Description generation batch_69d0b65ea4548190b445563ac695b008 completed April 4, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69d0b6f504a48190878db828312e8a97 completed April 4, 2026, 7 a.m.
Created at: March 30, 2026, 7:36 p.m.