Triple
T9484608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Klang Valley Expressway |
E228726
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Banting |
E802160
|
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: Banting | Statement: [South Klang Valley Expressway, connectsTo, Banting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banting Context triple: [South Klang Valley Expressway, connectsTo, Banting]
-
A.
Banting
Banting is a surname most famously associated with Frederick Banting, the Canadian physician and Nobel laureate who co-discovered insulin.
-
B.
Banting
chosen
Banting is a town in the Kuala Langat District of Selangor, Malaysia, known as a growing commercial and residential hub connected to major routes in the South Klang Valley region.
-
C.
Tuban
Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
-
D.
Kepanjen
Kepanjen is a town in East Java, Indonesia, known as an administrative and growing urban center within the Malang region.
-
E.
Magetan
Magetan is a regency and town in East Java, Indonesia, known for its cool climate, agricultural production, and proximity to the scenic Sarangan Lake and Mount Lawu.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804e278c8190b1f869158075cd52 |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139f7fa90819092e3fbcc62a9e5b9 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:55 p.m.