Triple
T8440466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guizhou–Guangzhou High-Speed Railway |
E199337
|
entity |
| Predicate | infrastructureFeatures |
P19374
|
FINISHED |
| Object | tunnels |
—
|
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: tunnels | Statement: [Guizhou–Guangzhou High-Speed Railway, infrastructureFeatures, tunnels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infrastructureFeatures Context triple: [Guizhou–Guangzhou High-Speed Railway, infrastructureFeatures, tunnels]
-
A.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
B.
infrastructureLevel
Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
-
C.
isPartOfInfrastructure
chosen
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
D.
shareTransportInfrastructure
Indicates that multiple entities make joint use of the same transport infrastructure facilities or systems.
-
E.
hasCommercialInfrastructure
Indicates that an entity possesses or is equipped with facilities, systems, or structures that support commercial or business activities.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.