Triple
T4466805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itaipu Dam |
E98397
|
entity |
| Predicate | percentageOfElectricitySupplyForParaguay |
P56686
|
FINISHED |
| Object | over 70 |
—
|
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: over 70 | Statement: [Itaipu Dam, percentageOfElectricitySupplyForParaguay, over 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfElectricitySupplyForParaguay Context triple: [Itaipu Dam, percentageOfElectricitySupplyForParaguay, over 70]
-
A.
unitArgentina
Indicates a relationship where an entity is associated with, belongs to, or is characterized as a unit related to Argentina.
-
B.
statusInBolivia
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Bolivia.
-
C.
distanceFromPotosiApproximate
Indicates an approximate measure of how far something is from Potosi.
-
D.
largestArgentineBase
Indicates that the subject is the largest Argentine base (e.g., by size, capacity, or another specified measure) among a relevant set of bases.
-
E.
transferOfControlToArgentina
Indicates that authority or control over something is formally handed over to Argentina.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.