Triple
T4603586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia and China |
E100375
|
entity |
| Predicate | infrastructureProjectsInclude |
P19374
|
FINISHED |
| Object | cross-border bridges |
—
|
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: cross-border bridges | Statement: [Russia and China, infrastructureProjectsInclude, cross-border bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infrastructureProjectsInclude Context triple: [Russia and China, infrastructureProjectsInclude, cross-border bridges]
-
A.
smartCityProjects
Indicates a relationship where a city undertakes or is associated with projects that apply digital, data-driven, or intelligent technologies to improve urban services and infrastructure.
-
B.
majorConstructionUnder
Indicates that a location or structure is currently undergoing significant construction work or large-scale building activity.
-
C.
notableRailwayProject
Indicates that the subject is recognized for involvement in a significant or prominent railway-related project.
-
D.
isPartOfInfrastructure
chosen
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
E.
infrastructureImpact
Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5975ec688190839bd22669343a76 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.