Triple
T17477544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bình Định province |
E425577
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Quy Nhơn |
—
|
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: Quy Nhơn | Statement: [Bình Định province, administrativeCenter, Quy Nhơn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quy Nhơn Context triple: [Bình Định province, administrativeCenter, Quy Nhơn]
-
A.
Quy Nhơn
chosen
Quy Nhơn is a coastal city in central Vietnam known for its beaches, seafood, and growing role as a regional economic and tourism hub.
-
B.
Nha Trang
Nha Trang is a coastal resort city in Vietnam renowned for its sandy beaches, scuba diving, and vibrant tourism industry.
-
C.
Tuy Hòa city
Tuy Hòa city is a coastal urban center in south-central Vietnam known for its beaches, rice fields, and role as the administrative and economic hub of Phú Yên province.
-
D.
Quy Nhơn Port
Quy Nhơn Port is a major seaport in central Vietnam that serves as a key hub for regional trade, transportation, and maritime activities in and around the city of Quy Nhơn.
-
E.
Vung Tau
Vung Tau is a coastal city in southern Vietnam known as a major seaside resort and important maritime and oil industry hub.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bd865081909b5f84405c40ff14 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.