Triple
T14443186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauthara |
E358137
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Champa 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: Champa polity Context triple: [Kauthara, instanceOf, Champa polity]
-
A.
Cham polity
chosen
Cham polity refers to the historical political entities and state structures formed by the Cham people in mainland Southeast Asia, particularly in what is now central and southern Vietnam, characterized by maritime trade, Hindu-Buddhist cultural influences, and shifting regional power dynamics.
-
B.
Malay kingdom
A Malay kingdom is a traditional political entity in the Malay world, typically ruled by a sultan or raja, characterized by Malay culture, Islam, and control over regional trade networks.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:19 a.m.