Triple
T32959794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Gas-cooled Reactor |
E843202
|
entity |
| Predicate | numberOfStationsBuilt |
—
|
GENERATED |
| Object | 7 twin-unit stations |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStationsBuilt Context triple: [Advanced Gas-cooled Reactor, numberOfStationsBuilt, 7 twin-unit stations]
-
A.
numberOfStations
chosen
Indicates the total count of stations associated with or contained by a given entity.
-
B.
numberOfNewStations
Indicates the quantity of stations that are newly created, added, or introduced within a given context or time period.
-
C.
numberOfStationsOpenedInPhase1
Indicates the total count of stations that were opened during the first phase of a project or rollout.
-
D.
numberOfUndergroundStations
Indicates the total count of underground (subway/metro) stations associated with a given entity.
-
E.
numberOfTrainsetsBuilt
Indicates the total count of trainsets that have been constructed or produced.
- F. None of above.
Provenance (1 batch)
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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:21 a.m.