Triple
T2042603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syr Darya |
E44777
|
entity |
| Predicate | averageDischarge_m3_per_s |
P22889
|
FINISHED |
| Object | 500 |
—
|
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: 500 | Statement: [Syr Darya, averageDischarge_m3_per_s, 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageDischarge_m3_per_s Context triple: [Syr Darya, averageDischarge_m3_per_s, 500]
-
A.
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.
-
B.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
C.
drainageAreaApprox
Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
-
D.
watercourseHasDam
Indicates that a watercourse (such as a river or stream) has a dam constructed on or across it.
-
E.
largestInflowRiver
Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.