Triple
T8420087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Klang |
E198826
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Klang |
E210327
|
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: Klang | Statement: [Port Klang, locatedNear, Klang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klang Context triple: [Port Klang, locatedNear, Klang]
-
A.
Klang
chosen
Klang is a historic town and major urban center in the state of Selangor, Malaysia, known for its royal heritage and proximity to the Port Klang industrial hub.
-
B.
Klang Valley
Klang Valley is Malaysia’s most populous urban and economic region, centered on Kuala Lumpur and its surrounding cities in Selangor.
-
C.
Bachok
Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
-
D.
Kuala Krai
Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
-
E.
Talang
Talang is a Swedish televised talent competition series that showcases performers of all ages in various disciplines.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c941988190884a5c0cbb44bcc2 |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce03476b288190b3df8f9f4d502ea8 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.