Triple
T21288017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khamsa of Nizami |
E524712
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Makhzan al-Asrar |
—
|
NE NERFINISHED |
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: Makhzan al-Asrar | Statement: [Khamsa of Nizami, hasPart, Makhzan al-Asrar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makhzan al-Asrar Context triple: [Khamsa of Nizami, hasPart, Makhzan al-Asrar]
-
A.
Makhzan al-Asrar
chosen
Makhzan al-Asrar is a didactic Persian masnavi poem by Nizami Ganjavi that explores ethical, philosophical, and mystical themes through stories and reflections.
-
B.
Kitab al-Sirr al-Asrar
Kitab al-Sirr al-Asrar is a seminal medieval Arabic work on alchemy and practical chemistry traditionally attributed to the polymath al-Razi.
-
C.
Mafātīḥ al-Ghayb
Mafātīḥ al-Ghayb is a monumental and highly influential Qur’anic exegesis that combines rigorous theological, philosophical, and linguistic analysis.
-
D.
Mashahid al-Asrar
Mashahid al-Asrar is a seminal mystical treatise by the Sufi philosopher Ibn Arabi that explores visionary experiences and esoteric spiritual insights.
-
E.
Kitāb al-Manāẓir
Kitāb al-Manāẓir is Ibn al-Haytham’s foundational treatise on optics that systematically analyzes vision, light, and perception and profoundly influenced later Islamic and European science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.