Triple
T17619307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khánh Hòa province |
E429666
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Nha Trang |
—
|
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: Nha Trang | Statement: [Khánh Hòa province, capital, Nha Trang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nha Trang Context triple: [Khánh Hòa province, capital, Nha Trang]
-
A.
Nha Trang
chosen
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
-
B.
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.
-
C.
Tuy Hoa
Tuy Hoa is a coastal city in south-central Vietnam known for its beaches, rice fields, and role as the capital of Phú Yên Province.
-
D.
Pleiku
Pleiku is a city in Vietnam’s Central Highlands known as a regional hub for coffee production and as a strategic site during the Vietnam War.
-
E.
Vung Tau
Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3547d88190ae3c9ffed63133c9 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.