Triple
T17619309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khánh Hòa province |
E429666
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Cam Ranh |
—
|
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: Cam Ranh | Statement: [Khánh Hòa province, hasCity, Cam Ranh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cam Ranh Context triple: [Khánh Hòa province, hasCity, Cam Ranh]
-
A.
Cam Ranh
chosen
Cam Ranh is a coastal city in Khánh Hòa Province, Vietnam, known for its deep-water bay and strategic military and transportation significance.
-
B.
Chau Doc
Chau Doc is a riverfront city in Vietnam’s An Giang Province, known as a cultural crossroads near the Cambodian border and a gateway to the Mekong Delta.
-
C.
Vung Tau
Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
-
D.
Cam Ranh International Airport
Cam Ranh International Airport is a major international airport in Vietnam serving the coastal resort city of Nha Trang and the surrounding Khanh Hoa Province.
-
E.
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.
- 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.