Triple
T16934222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sufi orders |
E410787
|
entity |
| Predicate | include |
P1393
|
FINISHED |
| Object | Muridiya |
E964084
|
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: Muridiya | Statement: [Sufi orders, include, Muridiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muridiya Context triple: [Sufi orders, include, Muridiya]
-
A.
Muridiya
chosen
Muridiya is a prominent Sufi brotherhood originating in Senegal, known for its emphasis on hard work, spiritual discipline, and devotion to its founder, Sheikh Amadou Bamba.
-
B.
Musasir
Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
-
C.
Menkib
Menkib is a hot, massive blue supergiant star in the constellation Perseus, notable as one of the brightest and most luminous stars in its region of the Milky Way.
-
D.
Morshi
Morshi is a town in the Amravati district of Maharashtra, India, known primarily as an agricultural and local trading center.
-
E.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2714b08190a2524d5d9578cc87 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe2d4f48190b965b6c0a3cc0125 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.