Triple
T18264866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 汉江 |
E437456
|
entity |
| Predicate | 年径流量 |
P131093
|
FINISHED |
| Object | 约580亿立方米 |
—
|
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: 约580亿立方米 | Statement: [汉江, 年径流量, 约580亿立方米]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 年径流量 Context triple: [汉江, 年径流量, 约580亿立方米]
-
A.
seasonalFlow
Indicates that the flow or intensity of something varies in a recurring pattern according to the seasons.
-
B.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
-
C.
currentHydrology
Indicates the present state or characteristics of water flow, distribution, and related hydrological conditions associated with an entity.
-
D.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
E.
watershedArea
Indicates the total land area from which surface water drains into a particular water body or point in the drainage system.
- F. None of above. chosen
Provenance (4 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.