Triple
T12384920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupsha River |
E295837
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mongla Port |
E667216
|
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: Mongla Port | Statement: [Rupsha River, near, Mongla Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongla Port Context triple: [Rupsha River, near, Mongla Port]
-
A.
Mongla Port
chosen
Mongla Port is Bangladesh’s second-largest seaport, serving as a key maritime gateway in the country’s southwest region.
-
B.
Chittagong Port
Chittagong Port is Bangladesh’s principal seaport and one of the busiest maritime hubs in South Asia, handling the majority of the country’s import and export trade.
-
C.
Kalabahi Port
Kalabahi Port is the main seaport and maritime gateway serving the island and regency of Alor in East Nusa Tenggara, Indonesia.
-
D.
Navlakhi Port
Navlakhi Port is a minor commercial seaport in Gujarat, India, serving as a regional hub for handling bulk cargo along the Gulf of Kutch.
-
E.
Wadomari Port
Wadomari Port is a local maritime gateway on Okinoerabu Island in Kagoshima Prefecture, Japan, serving passenger and cargo traffic that connects the island with other parts of the Amami archipelago and mainland Japan.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.