Triple
T30748072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 赣江 |
E782869
|
entity |
| Predicate | 对江西意义 |
P12510
|
FINISHED |
| Object | 江西省重要水运通道 |
—
|
LITERAL 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: 江西省重要水运通道 | Statement: [赣江, 对江西意义, 江西省重要水运通道]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 对江西意义 Context triple: [赣江, 对江西意义, 江西省重要水运通道]
-
A.
地域的役割
Indicates that something has a specific function, responsibility, or role within a particular region or locality.
-
B.
相关城市地标
Indicates a relationship where a city landmark is associated with, connected to, or relevant to a given entity or context.
-
C.
两岸著名区域
Indicates a relationship where an area is recognized as a famous or well-known region on both sides of the Taiwan Strait.
-
D.
hasRegionalSignificance
chosen
Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
-
E.
相关城市群
Indicates a relationship where an entity is associated with, belongs to, or is relevant to a particular urban agglomeration or city cluster.
- 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f6f79e481909e3c9130d9fd07b4 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:38 p.m.