Triple
T32497705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South–North Water Transfer Project |
E830572
|
entity |
| Predicate | designedCapacityPerYear |
P12993
|
FINISHED |
| Object | over 40 billion cubic meters |
—
|
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: over 40 billion cubic meters | Statement: [South–North Water Transfer Project, designedCapacityPerYear, over 40 billion cubic meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedCapacityPerYear Context triple: [South–North Water Transfer Project, designedCapacityPerYear, over 40 billion cubic meters]
-
A.
annualCapacity
chosen
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
B.
productionCapacity
Indicates the maximum amount of output an entity can produce within a given time or resource constraint.
-
C.
designedCapacityMW
Indicates the maximum electrical power output, in megawatts, that something is originally designed or rated to produce or handle.
-
D.
plannedCapacityMW
Indicates the intended or scheduled power generation capacity of an energy asset, measured in megawatts (MW).
-
E.
capacityPerHour
Indicates the maximum amount of output or throughput an entity can handle or produce in one hour.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: May 1, 2026, 12:59 a.m.