Triple
T14386111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panduranga |
E356727
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Cham polity |
C33915
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Cham polity Context triple: [Panduranga, instanceOf, Cham polity]
-
A.
Bugis principality
A Bugis principality is a traditional political entity or small sovereign state historically governed by Bugis rulers in South Sulawesi, Indonesia, characterized by its own leadership, territory, and customary laws.
-
B.
Tamil dynasty
A Tamil dynasty is a ruling lineage originating from the Tamil-speaking regions of South India and Sri Lanka, characterized by its political authority, cultural patronage, and influence over Tamil society and history.
-
C.
Tai polity
A Tai polity is a premodern socio-political entity formed by Tai-speaking peoples, typically organized around a muang (city-state) structure with a hierarchical ruler, tributary relations, and a mandala-style sphere of influence rather than fixed territorial borders.
-
D.
Kirati people
The Kirati people are an indigenous ethnolinguistic group of the eastern Himalayas, primarily in eastern Nepal and neighboring regions, known for their distinct Tibeto-Burman languages, rich oral traditions, and syncretic animist-Hindu-Buddhist cultural practices.
-
E.
Siamese state
A Siamese state is a quantum state composed of two or more subsystems that are structurally identical and correlated in a way that enables comparative or joint processing, often used in tasks like state discrimination or metric learning.
- F. None of above. chosen
Provenance (1 batch)
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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:16 a.m.