Triple
T18079857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trà Vinh |
E432658
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Trà Vinh 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: Trà Vinh City | Statement: [Trà Vinh, hasCapital, Trà Vinh City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trà Vinh City Context triple: [Trà Vinh, hasCapital, Trà Vinh City]
-
A.
Tra Vinh
chosen
Tra Vinh is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, numerous pagodas, and rich riverine landscapes.
-
B.
Ca Mau City
Ca Mau City is a southern Vietnamese urban center known as the country’s southernmost city and a regional hub for fishing, agriculture, and trade in the Mekong Delta.
-
C.
Rach Gia
Rach Gia is a coastal city in Vietnam’s Kien Giang Province, known as a gateway to the Gulf of Thailand and nearby islands such as Phu Quoc.
-
D.
Trà Vinh
Trà Vinh is a coastal province in Vietnam’s Mekong Delta region, known for its large Khmer community, distinctive pagodas, and rich riverine landscapes.
-
E.
Viet Tri City
Viet Tri City is an urban and industrial center in northern Vietnam known as a regional hub for administration, transportation, and manufacturing.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f81ff08190b7465e3c5568aa59 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.