Triple
T35906077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhonghai Lake |
E1038474
|
entity |
| Predicate | relativePositionInZhongnanhai |
—
|
GENERATED |
| Object | central lake |
—
|
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: relativePositionInZhongnanhai Context triple: [Zhonghai Lake, relativePositionInZhongnanhai, central lake]
-
A.
positionRelativeToGuangzhou
Indicates the spatial or geographic position of an entity in relation to the city of Guangzhou.
-
B.
positionOnChina
Indicates the stance, opinion, or policy that one entity holds regarding China.
-
C.
positionRelativeToForbiddenCity
Indicates the spatial relationship of an entity’s location with respect to the Forbidden City.
-
D.
ChinaPosition
Indicates the stance, policy, or viewpoint officially held or expressed by China regarding a particular issue, event, or entity.
-
E.
distanceFromBeijingCityCenter
Indicates the physical distance between an entity’s location and the geographic center of Beijing city.
- F. None of above. chosen
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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.