Triple

T7229388
Position Surface form Disambiguated ID Type / Status
Subject Abu Lahab E154864 entity
Predicate quranSurahName P16948 FINISHED
Object Al-Masad E367045 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: Al-Masad | Statement: [Abu Lahab, quranSurahName, Al-Masad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Masad
Context triple: [Abu Lahab, quranSurahName, Al-Masad]
  • A. Al-Masad chosen
    Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • B. Al-Majd
    Al-Majd is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • C. At-Takathur
    At-Takathur is the 102nd chapter of the Qur’an, known for its admonition against worldly rivalry and distraction from the hereafter.
  • D. As-Sab‘ al-Mathani
    As-Sab‘ al-Mathani is an honorific title for Surah Al-Fatiha, highlighting its special status as a frequently recited, foundational chapter of the Qur’an.
  • E. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: quranSurahName
Context triple: [Abu Lahab, quranSurahName, Al-Masad]
  • A. quranicSurah
    Indicates that one entity is a chapter (surah) of the Quran associated with or identified by the other entity.
  • B. quranSurahNumber
    Indicates the numerical position or identifier assigned to a specific surah (chapter) within the Quran.
  • C. quranicSurahMention chosen
    Indicates that a specific Quranic surah is mentioned, referenced, or cited in relation to another entity or context.
  • D. commandInSurah
    Indicates that a particular command or directive appears within a specified surah (chapter) of the Quran.
  • E. quranSection
    Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
  • F. None of above.

Provenance (4 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9e0ba248190a57a3b4fa8b858c7 completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc22a39481909a2f38014260f302 completed March 28, 2026, 12:40 p.m.
PD Predicate disambiguation batch_69c6e761b7fc8190857794d78af1b468 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:54 p.m.