Triple
T15183616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hồng Hà |
E362810
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Hải Phòng |
E28530
|
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: Hải Phòng | Statement: [Hồng Hà, hasMouthNear, Hải Phòng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hải Phòng Context triple: [Hồng Hà, hasMouthNear, Hải Phòng]
-
A.
Hai Phong
chosen
Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
-
B.
Qinhuangdao
Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
-
C.
Hòa Bình City
Hòa Bình City is an urban center in northwestern Vietnam that serves as the political, economic, and cultural hub of Hòa Bình Province.
-
D.
Hanoi
Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
-
E.
Tianjin
Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.