Triple
T6918027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choisy-le-Roi |
E160112
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Dong Da (Hanoi) |
E6204
|
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: Dong Da (Hanoi) | Statement: [Choisy-le-Roi, hasTwinTown, Dong Da (Hanoi)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong Da (Hanoi) Context triple: [Choisy-le-Roi, hasTwinTown, Dong Da (Hanoi)]
-
A.
Dong Hoi City
Dong Hoi City is the coastal capital and largest urban center of Quang Binh Province in central Vietnam, known as a gateway to the Phong Nha–Ke Bang National Park.
-
B.
Vinh
Vinh is a major city in north-central Vietnam, serving as the economic and cultural center of Nghệ An Province.
-
C.
Thu Duc City
Thu Duc City is an eastern municipal city within Ho Chi Minh City (Saigon), Vietnam, formed by merging several urban districts into a major innovation and technology hub.
-
D.
Hanoi
chosen
Hanoi is the historic and modern capital of Vietnam, known for its centuries-old architecture, rich cultural heritage, and vibrant street life.
-
E.
Hai Phong
Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e17ea08190b8c4142af8adfba0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7512b39b081908370c43ed3d65829 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:26 p.m.