Triple

T30818473
Position Surface form Disambiguated ID Type / Status
Subject Ibn Hajar al-Asqalani E784850 entity
Predicate methodInKitabAlIman P172940 FINISHED
Object analyzes relevant hadiths chapter by chapter LITERAL FINISHED

How this triple was built (2 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: analyzes relevant hadiths chapter by chapter | Statement: [Ibn Hajar al-Asqalani, methodInKitabAlIman, analyzes relevant hadiths chapter by chapter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: methodInKitabAlIman
Context triple: [Ibn Hajar al-Asqalani, methodInKitabAlIman, analyzes relevant hadiths chapter by chapter]
  • A. inAlMuwatta
    Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
  • B. foundInMushaf
    Indicates that something (such as a verse, phrase, or reading) is present and recorded in the written text of the Mushaf (the compiled Qur’anic codex).
  • C. hasQuranicEquivalent
    Indicates that something has a corresponding or analogous concept, term, or passage found in the Quran.
  • D. quranSection
    Indicates that one entity is a section, passage, or subdivided part of the Quran associated with another entity.
  • E. isMeccanSurah
    Indicates that a given surah (chapter of the Qur’an) was revealed in Mecca (i.e., is classified as a Meccan surah) rather than in Medina.
  • F. None of above. chosen

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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6b2d9aad88190a445f8f591cb19fc completed May 3, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69f6b14faf608190a25b977c0740729c completed May 3, 2026, 2:22 a.m.
PDg Predicate description generation batch_69f6b21da77081908c5c015c4606d344 completed May 3, 2026, 2:25 a.m.
Created at: April 29, 2026, 8:44 p.m.