Triple
T4653650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei South Railway Station |
E102355
|
entity |
| Predicate | isKeyNodeOn |
P20548
|
FINISHED |
| Object | national high-speed rail network of China |
—
|
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: national high-speed rail network of China | Statement: [Hefei South Railway Station, isKeyNodeOn, national high-speed rail network of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyNodeOn Context triple: [Hefei South Railway Station, isKeyNodeOn, national high-speed rail network of China]
-
A.
isKeyNodeIn
chosen
Indicates that a node serves as a primary or critical element within a specified structure, system, or context.
-
B.
isKeyPostIn
Indicates that a post or position is a central, strategically important element within a specified organization, structure, or context.
-
C.
isKeyRegionFor
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
D.
isKeyCrossingFor
Indicates that one entity serves as a primary or critical crossing point (such as a bridge, intersection, or passage) for another entity’s movement or connectivity.
-
E.
hasNodeType
Indicates that an entity is associated with, or classified as, a specific type of node within a structured system or model.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631623d881908a59dafa7702af54 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.