Triple
T20318317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sohar Aluminium smelter |
E492139
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Sohar Port |
—
|
NE NERFINISHED |
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: Sohar Port | Statement: [Sohar Aluminium smelter, hasPort, Sohar Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sohar Port Context triple: [Sohar Aluminium smelter, hasPort, Sohar Port]
-
A.
Port of Sohar
chosen
The Port of Sohar is a major deep-sea industrial and commercial port in northern Oman that serves as a key regional hub for shipping, logistics, and heavy industries.
-
B.
Port of Salalah
Port of Salalah is a major deep-water container and transshipment port in Oman, strategically located on the Arabian Sea along key East–West shipping routes.
-
C.
Baniyas port
Baniyas port is a coastal seaport in Syria on the Mediterranean Sea, serving as an important hub for the country's oil and maritime trade.
-
D.
Farasan Port
Farasan Port is a Saudi Arabian maritime facility serving the Farasan Islands, supporting regional transport, trade, and access to the Red Sea.
-
E.
Mesaieed Port
Mesaieed Port is a major industrial and commercial seaport in Qatar that serves as a key hub for the export of petroleum, petrochemicals, and other industrial products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67789d8108190ae2e134f4b0b0be5 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.