Triple
T2979684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | µA741 |
E80479
|
entity |
| Predicate | isNotSuitableFor |
P16201
|
FINISHED |
| Object | low-voltage rail-to-rail applications |
—
|
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: low-voltage rail-to-rail applications | Statement: [µA741, isNotSuitableFor, low-voltage rail-to-rail applications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotSuitableFor Context triple: [µA741, isNotSuitableFor, low-voltage rail-to-rail applications]
-
A.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
B.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
C.
notCompatibleWith
chosen
Indicates that two entities cannot function together properly or are unsuitable for joint use or interaction.
-
D.
notTypicallyUsedFor
Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
-
E.
doesNotServe
Indicates that one entity explicitly does not provide a service, function, or role to another entity.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999cca40819082e2d6d10bdb7872 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.