Triple
T8251733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Ethiopian Renaissance Dam |
E192973
|
entity |
| Predicate | firstTurbinesCommissioned |
P51757
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Grand Ethiopian Renaissance Dam, firstTurbinesCommissioned, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTurbinesCommissioned Context triple: [Grand Ethiopian Renaissance Dam, firstTurbinesCommissioned, 2022]
-
A.
firstGeneratorCommissioned
chosen
Indicates that the first generator in a system or facility has been officially put into operation or brought online.
-
B.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
-
C.
hydroelectricStationCommissioned
Indicates that a hydroelectric power station has been officially brought into operation or service on a specific date or in a specific context.
-
D.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
E.
firstFlownAt
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
- 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_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. |
Created at: March 30, 2026, 5:48 p.m.