Triple
T38618918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunan hydrological region |
E936811
|
entity |
| Predicate | mainlyDrains |
P114457
|
FINISHED |
| Object | Hunan Province |
—
|
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: Hunan Province | Statement: [Hunan hydrological region, mainlyDrains, Hunan Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainlyDrains Context triple: [Hunan hydrological region, mainlyDrains, Hunan Province]
-
A.
majorDrainageFor
chosen
Indicates that one watercourse or drainage feature serves as the primary outlet or drainage system for another area or hydrologic feature.
-
B.
drainagePurpose
Indicates the intended function or reason for which a drainage system or feature is designed or used.
-
C.
drainsAreaOf
Indicates that one entity serves as a drainage outlet or basin for another entity, carrying away its surface or groundwater.
-
D.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
E.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
- 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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.