Triple
T10120002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan Azlan Shah |
E223260
|
entity |
| Predicate | monarchOf |
P765
|
FINISHED |
| Object | Perak |
E39332
|
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: Perak | Statement: [Sultan Azlan Shah, monarchOf, Perak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perak Context triple: [Sultan Azlan Shah, monarchOf, Perak]
-
A.
Perak
chosen
Perak is a Malaysian state on the west coast of the Malay Peninsula, historically known for its rich tin deposits and former status as a key sultanate within British Malaya.
-
B.
Pahang
Pahang is a large Malaysian state on the eastern coast of Peninsular Malaysia, known for its extensive rainforests, highlands like Cameron Highlands, and long South China Sea coastline.
-
C.
Kedah
Kedah is a state in northwestern Peninsular Malaysia, historically significant as one of the oldest Malay kingdoms and once part of British Malaya.
-
D.
Perlis
Perlis is Malaysia’s smallest state, located in the northern part of the Malay Peninsula bordering Thailand and known for its agricultural landscape and quiet rural character.
-
E.
Kuala Perlis
Kuala Perlis is a small coastal town in Malaysia known as a key ferry gateway to the resort island of Langkawi.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2659cdc8190b3ba91426bda55ec |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
Created at: March 30, 2026, 9:04 p.m.