Triple
T7540263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cam Ranh International Airport |
E178256
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Cam Ranh |
E672065
|
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: Cam Ranh | Statement: [Cam Ranh International Airport, cityServed, Cam Ranh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cam Ranh Context triple: [Cam Ranh International Airport, cityServed, 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.
Vung Tau
Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
-
C.
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.
-
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.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f873b17081908bb70aea0010d072 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8614c958081908021a0341dc29725 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:48 p.m.