Triple
T14194137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadowbank Dam |
E351789
|
entity |
| Predicate | plantAnnualGeneration |
P113164
|
FINISHED |
| Object | 187 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: 187 GWh | Statement: [Meadowbank Dam, plantAnnualGeneration, 187 GWh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantAnnualGeneration Context triple: [Meadowbank Dam, plantAnnualGeneration, 187 GWh]
-
A.
recordAnnualGenerationYear
Indicates the year in which an entity’s annual generation (e.g., production or output) is recorded.
-
B.
numberOfBulbsPlantedPerYear
Indicates the quantity of bulbs that are planted within a single year.
-
C.
expectedAnnualGeneration
Indicates the amount of output (typically energy or production) that a system or asset is expected to generate over the course of a year.
-
D.
plantedInYear
Indicates that something was planted or sown in a specific calendar year.
-
E.
averageAnnualGeneration
Indicates the typical amount of something produced or generated per year, averaged over a specified multi-year period.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:04 a.m.