Triple
T37295649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aralʼ dengizi |
E925793
|
entity |
| Predicate | waterLossCause |
P196569
|
FINISHED |
| Object | irrigation withdrawals from Amu Darya and Syr Darya |
—
|
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: irrigation withdrawals from Amu Darya and Syr Darya | Statement: [Aralʼ dengizi, waterLossCause, irrigation withdrawals from Amu Darya and Syr Darya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterLossCause Context triple: [Aralʼ dengizi, waterLossCause, irrigation withdrawals from Amu Darya and Syr Darya]
-
A.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
B.
waterUser
Indicates a relationship where one entity uses or consumes water provided or managed by another entity.
-
C.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
D.
waterInput
Indicates that an entity receives or is supplied with water from another source or system.
-
E.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:16 p.m.