Triple
T20142886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bima City |
E491218
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Bima 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: Bima port | Statement: [Bima City, hasPort, Bima port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bima port Context triple: [Bima City, hasPort, Bima port]
-
A.
Port of Bima
chosen
Port of Bima is a regional seaport in Bima, on the island of Sumbawa in Indonesia, serving as a key hub for passenger and cargo transport in the surrounding area.
-
B.
Bakauheni Port
Bakauheni Port is a major ferry and logistics hub in southern Sumatra, Indonesia, serving as a primary gateway between Sumatra and Java and supporting significant regional trade and transportation.
-
C.
Padang Bai port
Padang Bai port is a coastal harbor in eastern Bali that serves as a key ferry and fast-boat gateway between Bali and nearby islands such as Lombok and the Gili Islands.
-
D.
Tuban port
Tuban port is a coastal seaport in Tuban, East Java, Indonesia, serving regional maritime trade and industrial shipping activities.
-
E.
Belawan Port
Belawan Port is a major seaport and key maritime gateway for the city of Medan and the surrounding region in North Sumatra, Indonesia.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.