Triple
T21942365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son Doong Cave |
E541852
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object |
Ho Khanh
Ho Khanh is a Vietnamese logger-turned-explorer best known for discovering Sơn Đoòng Cave, the largest known cave in the world.
|
E1508869
|
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: Ho Khanh | Statement: [Son Doong Cave, discoveredBy, Ho Khanh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ho Khanh Context triple: [Son Doong Cave, discoveredBy, Ho Khanh]
-
A.
Long Khanh
Long Khánh is a city in southern Vietnam known as an important economic and agricultural center within Đồng Nai Province.
-
B.
Kao Kim Hourn
Kao Kim Hourn is a Cambodian diplomat and academic who serves as the Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
C.
Kha Le-Huu
Kha Le-Huu is an architect known for designing the Harn Museum of Art at the University of Florida.
-
D.
Hoai Nhon
Hoai Nhon is a coastal town in south-central Vietnam known for its fishing industry, beaches, and role as a local economic and transportation hub.
-
E.
Nguyen Khanh
Nguyen Khanh was a South Vietnamese army general and political leader who briefly led the country after orchestrating a military coup in 1964 during the Vietnam War era.
- 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: Ho Khanh Triple: [Son Doong Cave, discoveredBy, Ho Khanh]
Generated description
Ho Khanh is a Vietnamese logger-turned-explorer best known for discovering Sơn Đoòng Cave, the largest known cave in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ho Khanh Target entity description: Ho Khanh is a Vietnamese logger-turned-explorer best known for discovering Sơn Đoòng Cave, the largest known cave in the world.
-
A.
Long Khanh
Long Khánh is a city in southern Vietnam known as an important economic and agricultural center within Đồng Nai Province.
-
B.
Kao Kim Hourn
Kao Kim Hourn is a Cambodian diplomat and academic who serves as the Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
C.
Kha Le-Huu
Kha Le-Huu is an architect known for designing the Harn Museum of Art at the University of Florida.
-
D.
Hoai Nhon
Hoai Nhon is a coastal town in south-central Vietnam known for its fishing industry, beaches, and role as a local economic and transportation hub.
-
E.
Nguyen Khanh
Nguyen Khanh was a South Vietnamese army general and political leader who briefly led the country after orchestrating a military coup in 1964 during the Vietnam War era.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242345dc8190aa6ddf61cf864e2d |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60ee7cc48190bf32574b758c6425 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6170bc5c8190b6b28e02675da476 |
completed | May 18, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a61f66a988190b07a9e36cacf44bf |
completed | May 18, 2026, 12:48 a.m. |
Created at: April 16, 2026, 7:56 p.m.