Triple
T29755265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pingbian Miao Autonomous County |
E753012
|
entity |
| Predicate | borderingProvinceLevelRegion |
P88549
|
FINISHED |
| Object | Lào Cai Province, Vietnam |
—
|
NE NERFINISHED |
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: Lào Cai Province, Vietnam | Statement: [Pingbian Miao Autonomous County, borderingProvinceLevelRegion, Lào Cai Province, Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingProvinceLevelRegion Context triple: [Pingbian Miao Autonomous County, borderingProvinceLevelRegion, Lào Cai Province, Vietnam]
-
A.
borderingCountryOfItsProvince
Indicates that one country shares a land border with the country to which a given province belongs.
-
B.
borderingStateOrProvince
chosen
Indicates that one state or province shares a common boundary with another state or province.
-
C.
borderingAdministrativeTerritorialEntity
Indicates that one administrative territorial entity shares a common boundary with another administrative territorial entity.
-
D.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
E.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
- F. None of above.
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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: April 28, 2026, 7:56 p.m.