Triple
T8690040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumut |
E206262
|
entity |
| Predicate | nearestMajorCity |
P1982
|
FINISHED |
| Object | Ipoh |
E60735
|
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: Ipoh | Statement: [Lumut, nearestMajorCity, Ipoh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipoh Context triple: [Lumut, nearestMajorCity, Ipoh]
-
A.
Ipoh
chosen
Ipoh is a prominent city in northwestern Peninsular Malaysia, known for its colonial-era architecture, limestone hills and caves, and vibrant food scene.
-
B.
Kota Bharu
Kota Bharu is a major city in northeastern Peninsular Malaysia known for its rich Malay culture, traditional markets, and role as the administrative and commercial center of Kelantan state.
-
C.
Kuala Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
-
D.
Kuching
Kuching is the capital and largest city of the Malaysian state of Sarawak on the island of Borneo, known for its diverse culture, colonial architecture, and proximity to rainforest and wildlife attractions.
-
E.
Alor Setar
Alor Setar is a major city in northwestern Peninsular Malaysia known as an administrative, cultural, and commercial hub near the border with Thailand.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5734602c81909a0687e00f4a4a26 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd5e548c8190898c01f9b8a27175 |
completed | April 3, 2026, 5:48 p.m. |
Created at: March 30, 2026, 6:33 p.m.