Triple
T1880123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selangor |
E39832
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port Klang |
E198826
|
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: Port Klang | Statement: [Selangor, hasPort, Port Klang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Klang Context triple: [Selangor, hasPort, Port Klang]
-
A.
Port Klang
chosen
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.
-
B.
Kota Kinabalu
Kota Kinabalu is a coastal city in Malaysian Borneo known as the gateway to Mount Kinabalu and the biodiverse rainforests and marine parks of Sabah.
-
C.
Johor Bahru
Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
-
D.
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.
-
E.
Penang
Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fa3d388190993073ffb0f60a84 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95e5cf008190a6638bb2c8d4d505 |
completed | March 9, 2026, 9:41 a.m. |
Created at: March 4, 2026, 7:34 p.m.