Triple
T21214361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Interconnection |
E522797
|
entity |
| Predicate | peakDemandUnit |
P143584
|
FINISHED |
| Object | megawatts |
—
|
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: megawatts | Statement: [Texas Interconnection, peakDemandUnit, megawatts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakDemandUnit Context triple: [Texas Interconnection, peakDemandUnit, megawatts]
-
A.
peakUse
Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
-
B.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
C.
peakLoadContribution
Indicates the extent to which an entity’s usage or demand contributes to the maximum (peak) load within a system or network.
-
D.
peakServicePeriod
Indicates the time interval during which a service experiences its highest or most intensive level of use or operation.
-
E.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734727a30819089c433e4fe6f438a |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:39 p.m.