Triple
T8838511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klang |
E210327
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | North Klang |
E761360
|
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: North Klang | Statement: [Klang, hasSubdivision, North Klang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Klang Context triple: [Klang, hasSubdivision, North Klang]
-
A.
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.
-
B.
Petaling Jaya
Petaling Jaya is a major city in the state of Selangor, Malaysia, known as a key commercial and residential hub adjacent to Kuala Lumpur.
-
C.
Ampang Jaya
Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
-
D.
Klang District
chosen
Klang District is an administrative district in the state of Selangor, Malaysia, centered on the historic royal town and major port city of Klang.
-
E.
Port Klang
Port Klang is Malaysia’s largest and busiest seaport, serving as a major maritime gateway on the country’s west coast and a key hub for regional and international trade.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606c60ac8190b2b6bd7f042c02f8 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0721430819091abe8c13a745725 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:48 p.m.