Triple
T8251751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Ethiopian Renaissance Dam |
E192973
|
entity |
| Predicate | expectedAnnualGeneration |
P81201
|
FINISHED |
| Object | approximately 15000 GWh |
—
|
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: approximately 15000 GWh | Statement: [Grand Ethiopian Renaissance Dam, expectedAnnualGeneration, approximately 15000 GWh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expectedAnnualGeneration Context triple: [Grand Ethiopian Renaissance Dam, expectedAnnualGeneration, approximately 15000 GWh]
-
A.
recordAnnualGenerationYear
Indicates the year in which an entity’s annual generation (e.g., production or output) is recorded.
-
B.
averageHouseholdsPoweredPerYear
Indicates the typical number of households that can be supplied with power over the course of one year.
-
C.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
D.
sunshineHoursPerYear
Indicates the total number of hours in a year during which a location receives direct sunshine.
-
E.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78ca4b0881909bb1fb550dba59e7 |
completed | March 31, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.