Triple
T9176493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gò Vấp District |
E220211
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Quận Gò Vấp |
E220211
|
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: Quận Gò Vấp | Statement: [Gò Vấp District, nativeName, Quận Gò Vấp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quận Gò Vấp Context triple: [Gò Vấp District, nativeName, Quận Gò Vấp]
-
A.
Gò Vấp District
chosen
Gò Vấp District is a densely populated urban district in Ho Chi Minh City, Vietnam, known for its rapid development and proximity to Tan Son Nhat International Airport.
-
B.
Tân Bình District
Tân Bình District is an urban district of Ho Chi Minh City, Vietnam, best known as the location of the country’s busiest air gateway, Tan Son Nhat International Airport.
-
C.
Tân Định Ward
Tân Định Ward is a central urban ward of Ho Chi Minh City, Vietnam, known for its historic pink Tân Định Church and bustling traditional market.
-
D.
Que Phong District
Que Phong District is a rural mountainous district in northwestern Nghệ An Province, Vietnam, known for its ethnic diversity and forested landscapes.
-
E.
Đống Đa District
Đống Đa District is a central urban district of Hanoi, Vietnam, known for its dense population, historical sites, and role as a major commercial and educational hub of the capital.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa496548190a096969eebf732f3 |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07771873c8190a9e2ebf2c83775be |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:23 p.m.