Triple
T36487562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Resolution Channel |
E898972
|
entity |
| Predicate | sufferedFailure |
P37047
|
FINISHED |
| Object | electronics 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: electronics failure | Statement: [High Resolution Channel, sufferedFailure, electronics failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufferedFailure Context triple: [High Resolution Channel, sufferedFailure, electronics failure]
-
A.
experiencedFailure
chosen
Indicates that an entity has undergone or encountered a failure in performing an action, achieving a goal, or maintaining a desired state.
-
B.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
-
C.
failed
Indicates that an attempted action or process did not succeed in achieving its intended outcome.
-
D.
failureCause
Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
-
E.
failureModel
Indicates the type or structure of how a system, component, or process can fail or behaves when failures occur.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.