Triple
T16620729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minh Mạng |
E403818
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Huế |
E101579
|
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: Huế | Statement: [Minh Mạng, birthPlace, Huế]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huế Context triple: [Minh Mạng, birthPlace, Huế]
-
A.
Huế
chosen
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.
-
B.
Da Nang
Da Nang is a major coastal city in central Vietnam known for its sandy beaches, modern infrastructure, and proximity to historic sites like Hoi An and the Marble Mountains.
-
C.
Long Xuyen
Long Xuyen is a major city in Vietnam’s Mekong Delta region, serving as the capital of An Giang Province and an important economic and cultural center.
-
D.
Chau Doc
Chau Doc is a riverfront city in Vietnam’s An Giang Province, known as a cultural crossroads near the Cambodian border and a gateway to the Mekong Delta.
-
E.
Lao Bảo
Lao Bảo is a border town in Quảng Trị Province, Vietnam, known as a key commercial and transit point on the route between Vietnam and Laos.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b33bc7081908170fbcde9a65fd6 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:17 a.m.