Triple
T31021730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TradElect |
E790466
|
entity |
| Predicate | outageCause |
P77548
|
FINISHED |
| Object | technical failure |
—
|
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: technical failure | Statement: [TradElect, outageCause, technical failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outageCause Context triple: [TradElect, outageCause, technical failure]
-
A.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
B.
failureCause
chosen
Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
-
C.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
D.
retreatCause
Indicates that one event, condition, or factor serves as the reason or trigger for a retreat by an entity.
-
E.
reasonForPoorReception
Indicates that the predicate specifies the cause or explanation for why something was received poorly or negatively.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:58 p.m.