Triple

T3553616
Position Surface form Disambiguated ID Type / Status
Subject Surah Al-Masad E75168 entity
Predicate name P16 FINISHED
Object Lahab
Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
 E367047 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: Lahab | Statement: [Surah Al-Masad, name, Lahab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lahab
Context triple: [Surah Al-Masad, name, Lahab]
  • A. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • B. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • 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: Lahab
Triple: [Surah Al-Masad, name, Lahab]
Generated description
Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lahab
Target entity description: Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • A. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • B. Lhazar
    Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
  • C. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • D. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • E. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05394888190b59fafda97b49beb completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38beef8b4819090109ab89e9671d6 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38c84fc788190a074f14a76bb7944 completed March 13, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69b38cb872948190a75bc6d6829187c5 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:20 p.m.