Triple
T1764694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mỹ Đức District |
E38735
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Đại Nghĩa |
E197386
|
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: Đại Nghĩa | Statement: [Mỹ Đức District, hasAdministrativeCenter, Đại Nghĩa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Đại Nghĩa Context triple: [Mỹ Đức District, hasAdministrativeCenter, Đại Nghĩa]
-
A.
Đại Nghĩa
chosen
Đại Nghĩa is a township in Hanoi, Vietnam, serving as the administrative and economic center of Mỹ Đức District.
-
B.
Châu Đốc
Châu Đốc is a riverine city in southern Vietnam near the Cambodian border, known for its bustling trade, cultural diversity, and proximity to the sacred pilgrimage site of Mount Sam.
-
C.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
D.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
E.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa646665088190afa31bdf48f14316 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada98eb0348190a44e05393a2c6eff |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.