Triple
T2342949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rashid Sidek |
E45065
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Selangor, Malaysia |
E39832
|
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: Selangor, Malaysia | Statement: [Rashid Sidek, placeOfBirth, Selangor, Malaysia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selangor, Malaysia Context triple: [Rashid Sidek, placeOfBirth, Selangor, Malaysia]
-
A.
Selangor
chosen
Selangor is a highly developed and populous state on the west coast of Peninsular Malaysia that surrounds the federal territories of Kuala Lumpur and Putrajaya.
-
B.
Perak
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.
-
C.
Kuala Perlis
Kuala Perlis is a small coastal town in Malaysia known as a key ferry gateway to the resort island of Langkawi.
-
D.
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.
-
E.
Malaysia
Malaysia is a Southeast Asian country on the Malay Peninsula and parts of Borneo, known for its multicultural society, tropical rainforests, and rapidly developing economy.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ae33e881909a81a0c0def59059 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de6f85f88190905882d24cc51c2d |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 4, 2026, 7:52 p.m.