Triple
T2333769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unfederated Malay States |
E44263
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Alor Setar |
E247312
|
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: Alor Setar | Statement: [Unfederated Malay States, hasCapital, Alor Setar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alor Setar Context triple: [Unfederated Malay States, hasCapital, Alor Setar]
-
A.
Alor Setar
chosen
Alor Setar is a major city in northwestern Peninsular Malaysia known as an administrative, cultural, and commercial hub near the border with Thailand.
-
B.
Shah Alam
Shah Alam is a planned city in Malaysia known as the administrative and commercial center of the state of Selangor.
-
C.
Sungai Petani
Sungai Petani is a major commercial and residential town in the Malaysian state of Kedah, known as one of its largest and most rapidly developing urban centers.
-
D.
Kuantan
Kuantan is a coastal city on the east coast of Peninsular Malaysia known as a major economic and cultural center and gateway to the South China Sea.
-
E.
Kuala Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc66d7ea081908867ff494b70df1e |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17726e54819094f1419b3bbe2a2a |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:51 p.m.