Triple
T23721820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China and North Korea |
E586165
|
entity |
| Predicate | mainChineseBorderProvince |
P150038
|
FINISHED |
| Object | Liaoning |
—
|
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: Liaoning | Statement: [China and North Korea, mainChineseBorderProvince, Liaoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainChineseBorderProvince Context triple: [China and North Korea, mainChineseBorderProvince, Liaoning]
-
A.
includesProvinceOnChinaSide
chosen
Indicates that a specified entity encompasses or contains a province located on the Chinese side of a border or boundary.
-
B.
borderTypeWithChina
Indicates the type or nature of the border relationship an entity has with China.
-
C.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
D.
borderingStateOrProvince
Indicates that one state or province shares a common boundary with another state or province.
-
E.
mainProvinces
Indicates that certain provinces are the primary or most significant administrative regions associated with a given entity.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:02 p.m.