Triple
T8838512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klang |
E210327
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | South 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: South Klang | Statement: [Klang, hasSubdivision, South Klang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Klang Context triple: [Klang, hasSubdivision, South Klang]
-
A.
Ampang Jaya
Ampang Jaya is a suburban municipality in the state of Selangor, Malaysia, forming part of the greater Kuala Lumpur metropolitan area.
-
B.
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.
-
C.
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.
-
D.
Sepang District
Sepang District is an administrative district in the southern part of Selangor, Malaysia, known for hosting major infrastructure and motorsport venues and forming part of the greater Kuala Lumpur metropolitan area.
-
E.
Rümlang
Rümlang is a municipality in the canton of Zurich in northern Switzerland, situated near Zurich Airport and characterized by a mix of residential areas, industry, and surrounding natural landscapes.
- 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_69cfab79954081908c727d0561208f9c |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:48 p.m.