Triple

T38277743
Position Surface form Disambiguated ID Type / Status
Subject Al-Muʿallaqāt E1022004 entity
Predicate traditionalExplanationOfTitle P4542 FINISHED
Object poems hung on the Kaaba in Mecca 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: poems hung on the Kaaba in Mecca | Statement: [Al-Muʿallaqāt, traditionalExplanationOfTitle, poems hung on the Kaaba in Mecca]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalExplanationOfTitle
Context triple: [Al-Muʿallaqāt, traditionalExplanationOfTitle, poems hung on the Kaaba in Mecca]
  • A. traditionalTitle
    Indicates that an entity holds or is associated with a customary or historically established title or honorific within a cultural or social tradition.
  • B. traditionalTitleGivenBy
    Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
  • C. earlyTitleOf
    Indicates that one entity served as an earlier or preliminary title for another entity.
  • D. titleMeaning chosen
    Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
  • E. traditionalTitleOfKing
    Indicates that the object is the customary or historically recognized royal title held by the king specified as the subject.
  • F. None of above.

Provenance (3 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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fffc783b648190bcd7df017514d206 completed May 10, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69fffc03fa24819099e12413dc6e0afd completed May 10, 2026, 3:31 a.m.
Created at: May 3, 2026, 4:30 p.m.