Triple
T322812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saigon |
E6450
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object | Vietnamese dong |
E27845
|
NE FINISHED |
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: Vietnamese dong | Statement: [Saigon, currency, Vietnamese dong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vietnamese dong Context triple: [Saigon, currency, Vietnamese dong]
-
A.
Vietnamese đồng
chosen
The Vietnamese đồng is the official fiat currency of Vietnam, known for its relatively low value per unit and frequent use of large denominations.
-
B.
Indonesian rupiah
The Indonesian rupiah is the official currency of Indonesia, known for experiencing severe devaluation during the late-1990s Asian financial crisis.
-
C.
Thai baht
The Thai baht is the official currency of Thailand, notable for its central role in triggering the 1997 Asian financial crisis after a sharp devaluation.
-
D.
Philippine peso
The Philippine peso is the official currency of the Philippines, issued by the Bangko Sentral ng Pilipinas and commonly denoted by the symbol ₱ and the code PHP.
-
E.
South Korean won
The South Korean won is the official currency of South Korea, known for its significant devaluation and subsequent reforms during the late-1990s Asian financial crisis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea82ba748190bae651f5de908617 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb0203c081909fadc99c2172c87a |
completed | March 1, 2026, 5:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.