Triple
T22629033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lâm Đồng Province |
E558498
|
entity |
| Predicate | hasNotableCity |
P2813
|
FINISHED |
| Object | Da Lat |
—
|
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: Da Lat | Statement: [Lâm Đồng Province, hasNotableCity, Da Lat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Lat Context triple: [Lâm Đồng Province, hasNotableCity, Da Lat]
-
A.
Da Lat
chosen
Da Lat is a cool, mountainous resort city in Vietnam’s Central Highlands, famed for its pine forests, colonial-era architecture, and flower gardens.
-
B.
Buôn Ma Thuột
Buôn Ma Thuột is a major city in Vietnam renowned as the capital of the country’s coffee industry and the largest urban center in the Central Highlands region.
-
C.
Huế
Huế is a historic city in central Vietnam that served as the imperial capital of the Nguyễn Dynasty and is renowned for its ancient citadel, royal tombs, and rich cultural heritage.
-
D.
Tuy Hoa
Tuy Hoa is a coastal city in south-central Vietnam known for its beaches, rice fields, and role as the capital of Phú Yên Province.
-
E.
Saigon
Saigon is an American rapper known for his socially conscious lyrics and work within the New York hip-hop scene.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3febd081909ff21abef1e4035d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3:02 p.m.