Triple
T23400657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Văn Kiệt |
E559494
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Ho Chi Minh City |
—
|
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: Ho Chi Minh City | Statement: [Võ Văn Kiệt, residence, Ho Chi Minh City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ho Chi Minh City Context triple: [Võ Văn Kiệt, residence, Ho Chi Minh City]
-
A.
Saigon
chosen
Saigon, now officially known as Ho Chi Minh City, is Vietnam’s largest city and a historic economic and cultural hub in the south of the country.
-
B.
Saigon
Saigon is an American rapper known for his socially conscious lyrics and work within the New York hip-hop scene.
-
C.
Hanoi
Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
-
D.
Hanoi–Ho Chi Minh City
Hanoi–Ho Chi Minh City is Vietnam’s busiest and most important domestic air route, linking the nation’s capital in the north with its largest economic hub in the south.
-
E.
Da Lat
Da Lat is a cool, mountainous resort city in Vietnam’s Central Highlands, famed for its pine forests, colonial-era architecture, and flower gardens.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.