Triple
T22833465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dương Văn Minh |
E565872
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Big Minh |
—
|
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: Big Minh | Statement: [Dương Văn Minh, alsoKnownAs, Big Minh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Minh Context triple: [Dương Văn Minh, alsoKnownAs, Big Minh]
-
A.
Big Minh
chosen
Big Minh, formally known as Dương Văn Minh, was a South Vietnamese general and politician who briefly served as the last president of South Vietnam before its fall in 1975.
-
B.
An Minh
An Minh is a coastal district-level town in Vietnam’s Kien Giang Province, known for its fishing and agriculture along the Mekong Delta region.
-
C.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
D.
Thieu
Thieu is a locality in Belgium known for its historic hydraulic boat lift and its role in regional inland waterway transport.
-
E.
Mingun
Mingun is a historic riverside town in central Myanmar, known for its massive unfinished pagoda, the Mingun Pahtodawgyi, and the nearby Mingun Bell.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2d830881908d69929b854aad66 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.