Triple

T8339890
Position Surface form Disambiguated ID Type / Status
Subject Abu al-Hasan al-Shadhili E195882 entity
Predicate diedIn P21 FINISHED
Object Humaythara E410350 NE 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: Humaythara | Statement: [Abu al-Hasan al-Shadhili, diedIn, Humaythara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humaythara
Context triple: [Abu al-Hasan al-Shadhili, diedIn, Humaythara]
  • A. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • B. Meryatum
    Meryatum was an ancient Egyptian prince and high priest of Ra at Heliopolis, known as a son of Pharaoh Ramesses II.
  • C. Rumaitha chosen
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • D. Maham
    Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
  • E. Zubeidaa
    Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd7a3888190b54306ed862aded4 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:57 p.m.