Triple
T34900670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siret River |
E1006577
|
entity |
| Predicate | averageDischargeAtMouth |
P59328
|
FINISHED |
| Object | about 210 m³/s |
—
|
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: about 210 m³/s | Statement: [Siret River, averageDischargeAtMouth, about 210 m³/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageDischargeAtMouth Context triple: [Siret River, averageDischargeAtMouth, about 210 m³/s]
-
A.
hasAverageDischargeNearMouth
chosen
Indicates that a water body has a specified average flow rate or volume of discharge measured near its mouth or outlet.
-
B.
lakeOutflow
Indicates that a lake serves as the source from which water flows out into another body of water or drainage system.
-
C.
dischargeAverage
Indicates the typical or mean rate at which something (such as fluid, electricity, or emissions) is released or flows over a given period.
-
D.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
E.
largestBranchByDischarge
Indicates that one branch in a river system has the greatest water discharge (flow volume) compared to all other branches.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4 p.m.