Triple
T4306751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cần Thơ |
E99971
|
entity |
| Predicate | hasUrbanDistrict |
P11388
|
FINISHED |
| Object | Ninh Kiều |
E149150
|
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: Ninh Kiều | Statement: [Cần Thơ, hasUrbanDistrict, Ninh Kiều]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ninh Kiều Context triple: [Cần Thơ, hasUrbanDistrict, Ninh Kiều]
-
A.
Soc Son District
Soc Son District is a rural district in the northern outskirts of Hanoi, Vietnam, known for hosting Noi Bai International Airport, the country’s main international gateway.
-
B.
Ngọc Thụy
Ngọc Thụy is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
-
C.
Ninh Kieu District
chosen
Ninh Kieu District is the central urban district and commercial hub of Cần Thơ City in Vietnam, known for its bustling waterfront and Ninh Kieu Wharf.
-
D.
Binh Thanh District
Binh Thanh District is a centrally located urban district of Ho Chi Minh City, Vietnam, known for its dense residential areas, commercial activity, and proximity to the city’s downtown core.
-
E.
Ben Nghe Ward
Ben Nghe Ward is a central urban neighborhood in Ho Chi Minh City, Vietnam, known for its commercial activity, high-rise developments, and proximity to major administrative and cultural landmarks.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c756809c8190af90c91ec7883e55 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:09 p.m.