Triple
T727504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konya |
E14759
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Whirling Dervishes |
E28289
|
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: Whirling Dervishes | Statement: [Konya, knownFor, Whirling Dervishes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whirling Dervishes Context triple: [Konya, knownFor, Whirling Dervishes]
-
A.
Mevleviyya
chosen
Mevleviyya is a prominent Sufi order best known for its whirling dervish ceremonies and spiritual practices inspired by the teachings of the Persian poet and mystic Rumi.
-
B.
Sulh-i Kul
Sulh-i Kul was a Mughal-era doctrine of universal peace and tolerance that promoted religious harmony and equal treatment of all faiths in the empire.
-
C.
Din-i Ilahi
Din-i Ilahi was a syncretic religious doctrine created by the Mughal emperor Akbar in the late 16th century that sought to blend elements of Islam, Hinduism, and other faiths into a unified ethical and spiritual system.
-
D.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
E.
City of a Thousand Minarets
City of a Thousand Minarets is a poetic epithet for Cairo, highlighting its dense skyline of historic mosques and Islamic architecture.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6375e24248190b53efa0bfc29567a |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:37 p.m.