Triple

T7593434
Position Surface form Disambiguated ID Type / Status
Subject The Cave E179795 entity
Predicate mentionsFigure P831 FINISHED
Object al-Khidr E179796 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: al-Khidr | Statement: [The Cave, mentionsFigure, al-Khidr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-Khidr
Context triple: [The Cave, mentionsFigure, al-Khidr]
  • A. Musa and Khidr chosen
    Musa and Khidr is a Qur’anic narrative in Surah Al-Kahf that recounts Prophet Moses’ journey with the mysterious figure Khidr to illustrate the limits of human understanding and the hidden wisdom behind divine decree.
  • B. Jibreel Khazan
    Jibreel Khazan, born Ezell Blair Jr., is a civil rights activist best known as one of the Greensboro Four who initiated the 1960 Woolworth’s lunch counter sit-ins in North Carolina.
  • C. Luqman
    Luqman is a wise figure mentioned in the Qur’an, traditionally regarded as a sage known for his counsel and moral teachings.
  • D. Abu Zayd
    Abu Zayd is the honorific (kunya) of the renowned 14th-century Arab historian and sociologist Ibn Khaldun.
  • E. Abu Zayd al-Ansari
    Abu Zayd al-Ansari was an early Arab grammarian and linguist renowned for his contributions to the development of classical Arabic grammar and philology.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bab3a08190a2c36b2c72a1de25 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86197fe0881908307a411cabdca7f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.