Triple
T23201681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarir Dalmah |
E580328
|
entity |
| Predicate | economicUsePotential |
P3592
|
FINISHED |
| Object | groundwater extraction |
—
|
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: groundwater extraction | Statement: [Sarir Dalmah, economicUsePotential, groundwater extraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicUsePotential Context triple: [Sarir Dalmah, economicUsePotential, groundwater extraction]
-
A.
economicUse
chosen
Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
-
B.
energyUse
Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
-
C.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
D.
hasMainEconomicUse
Indicates that something serves as the primary or principal economic function, purpose, or use of another entity.
-
E.
energyContext
Indicates the situational or environmental conditions under which energy is produced, used, transferred, or transformed in relation to the entities involved.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19079c44881909e8677921b08b931 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:06 p.m.