Triple
T30062359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chengjiang County |
E763923
|
entity |
| Predicate | hasNearbyFreshwaterLake |
P17985
|
FINISHED |
| Object | Fuxian Lake |
—
|
NE NERFINISHED |
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: Fuxian Lake | Statement: [Chengjiang County, hasNearbyFreshwaterLake, Fuxian Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyFreshwaterLake Context triple: [Chengjiang County, hasNearbyFreshwaterLake, Fuxian Lake]
-
A.
hasNearbyLake
chosen
Indicates that one entity is located close to or in the vicinity of a lake.
-
B.
hasNearbyLakeRegion
Indicates that one region is located close to a lake or lake-dominated area.
-
C.
hasFreshwaterLake
Indicates that one entity possesses, contains, or is associated with a freshwater lake.
-
D.
hasNearbyWater
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
E.
lakeTypeNearby
Indicates that one entity is located near another entity that is classified as a particular type of lake.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 29, 2026, 6:58 p.m.