Triple
T2122137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amu Darya |
E43947
|
entity |
| Predicate | discharge_m3_per_s |
P22889
|
FINISHED |
| Object | approximately 2000 |
—
|
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: approximately 2000 | Statement: [Amu Darya, discharge_m3_per_s, approximately 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discharge_m3_per_s Context triple: [Amu Darya, discharge_m3_per_s, approximately 2000]
-
A.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
B.
dischargeAverage
chosen
Indicates the typical or mean rate at which something (such as fluid, electricity, or emissions) is released or flows over a given period.
-
C.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
outflow
Indicates the movement or discharge of something from an origin or source to the outside or to another location.
-
E.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb51e8088190a1aeafee4e8dff63 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.