Triple

T1317263
Position Surface form Disambiguated ID Type / Status
Subject al-Junayd E28132 entity
Predicate name P16 FINISHED
Object al-Junayd E28132 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-Junayd | Statement: [al-Junayd, name, al-Junayd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-Junayd
Context triple: [al-Junayd, name, al-Junayd]
  • A. al‑Junayd chosen
    Al-Junayd was a seminal 9th-century Sufi master renowned for articulating a sober, intellectually grounded form of Islamic mysticism that deeply shaped later Sufi thought.
  • B. Sayyid al-Taifa
    Sayyid al-Taifa is an honorific title meaning "Master of the (Sufi) Community," traditionally associated with the early Sufi leader al-Junayd of Baghdad.
  • C. Hijr Ismail
    Hijr Ismail is a semi-circular walled area adjacent to the Kaaba in Mecca that is considered a sacred space and part of the original Kaaba’s foundation.
  • D. Ibn Muqla
    Ibn Muqla was a 10th-century Abbasid vizier and master calligrapher renowned for codifying the proportional rules that shaped classical Arabic scripts, especially Naskh.
  • E. Muhammad al-Shaybani
    Muhammad al-Shaybani was an influential early Islamic jurist and student of Abu Hanifa who played a key role in systematizing and transmitting Hanafi jurisprudence.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c175079481909077cf11ed72d6fa completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231f92bc8190be41c30adb022b65 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:55 p.m.