Triple
T9868073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tay Ho District |
E239884
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Long Bien District |
E792270
|
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: Long Bien District | Statement: [Tay Ho District, borders, Long Bien District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Bien District Context triple: [Tay Ho District, borders, Long Bien District]
-
A.
Long Bien District
chosen
Long Bien District is an urban district of Hanoi, Vietnam, known for its rapid development, residential complexes, and strategic location on the eastern bank of the Red River.
-
B.
Ba Vì District
Ba Vì District is a rural district on the western outskirts of Hanoi, Vietnam, known for its mountainous landscapes, Ba Vì National Park, and cultural sites.
-
C.
Ly Nhan District
Ly Nhan District is a rural administrative district located in Hà Nam Province in northern Vietnam.
-
D.
Thanh Liem District
Thanh Liem District is a rural administrative district located in Hà Nam Province in northern Vietnam.
-
E.
Cau Giay District
Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5424a26688190a49c3920d0edb546 |
completed | April 19, 2026, 8:59 p.m. |
Created at: March 30, 2026, 8:36 p.m.