Triple
T6729945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khe Sanh |
E153608
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object |
VN
VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
|
E615665
|
NE FINISHED |
How this triple was built (4 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: VN | Statement: [Khe Sanh, countryCode, VN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VN Context triple: [Khe Sanh, countryCode, VN]
-
A.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
B.
Vietnamese
Vietnamese refers to the people, language, and culture associated with Vietnam, a Southeast Asian country with a rich history and distinct cultural traditions.
-
C.
Viet
Viet refers to the ethnic Vietnamese people, the majority ethnic group of Vietnam with a distinct language and culture.
-
D.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
E.
Vietnamese Wikinews
Vietnamese Wikinews is the Vietnamese-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Vietnamese readers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VN Triple: [Khe Sanh, countryCode, VN]
Generated description
VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VN Target entity description: VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
-
A.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
B.
Vietnamese
Vietnamese refers to the people, language, and culture associated with Vietnam, a Southeast Asian country with a rich history and distinct cultural traditions.
-
C.
Viet
Viet refers to the ethnic Vietnamese people, the majority ethnic group of Vietnam with a distinct language and culture.
-
D.
VNU
VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
-
E.
Vietnamese Wikinews
Vietnamese Wikinews is the Vietnamese-language edition of the Wikinews project, offering collaboratively written, free-content news articles for Vietnamese readers.
- F. None of above. chosen
Provenance (5 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d15591c8819082620d194eba3e9d |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b00ba9c8190aaae2220972ff4f2 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70c5fc9c88190ba499b0a9e7bcbc2 |
completed | March 27, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d0fcbc08190b3a7d0de3c634a5f |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.