Triple
T1338904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Nang |
E28418
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Da Nang Port |
E153716
|
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: Da Nang Port | Statement: [Da Nang, hasPort, Da Nang Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Nang Port Context triple: [Da Nang, hasPort, Da Nang Port]
-
A.
Saigon Port
Saigon Port is a major commercial and container port in Ho Chi Minh City, Vietnam, serving as one of the country’s key gateways for maritime trade.
-
B.
Tien Sa Port
chosen
Tien Sa Port is a major deep-water seaport in Da Nang, Vietnam, serving as a key hub for cargo shipping and cruise tourism in the central region.
-
C.
Ninh Kieu Wharf
Ninh Kieu Wharf is a famous riverside promenade and tourist hub in Can Tho, Vietnam, known for its scenic views, floating markets, and vibrant nightlife along the Hau River.
-
D.
Da Nang
Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
-
E.
Kamarajar Port
Kamarajar Port is a major deep-water seaport near Chennai on India’s east coast, serving as a key hub for cargo and industrial maritime trade.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce660ccc8190abc6cdceaf09101c |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.