Triple
T10878351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District 2 |
E256854
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Thu Thiem New Urban Area |
E216860
|
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: Thu Thiem New Urban Area | Statement: [District 2, contains, Thu Thiem New Urban Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thu Thiem New Urban Area Context triple: [District 2, contains, Thu Thiem New Urban Area]
-
A.
Thu Thiem New Urban Area
chosen
Thu Thiem New Urban Area is a major planned financial and commercial district in Ho Chi Minh City, Vietnam, envisioned as a modern counterpart to the historic city center.
-
B.
Ngọc Thụy
Ngọc Thụy is a ward-level administrative area located within Long Biên District of Hanoi, Vietnam.
-
C.
Asiana Town
Asiana Town is the main corporate headquarters complex of South Korea’s Asiana Airlines in Seoul.
-
D.
Trang Tien area
Trang Tien area is a central commercial and cultural neighborhood in Hanoi known for its historic architecture, upscale shops, and proximity to Hoàn Kiếm Lake.
-
E.
Tu Liem area
Tu Liem area is a district-level urban area in western Hanoi, Vietnam, known for its rapid development and mix of residential, educational, and governmental facilities.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ae92548190a3563c5b18650a32 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7e2322c8190a55605237ae6ce95 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.