Triple
T9632760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reverse Polish Notation |
E232845
|
entity |
| Predicate | isDisadvantage |
P7340
|
FINISHED |
| Object | less familiar to many users than infix notation |
—
|
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: less familiar to many users than infix notation | Statement: [Reverse Polish Notation, isDisadvantage, less familiar to many users than infix notation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDisadvantage Context triple: [Reverse Polish Notation, isDisadvantage, less familiar to many users than infix notation]
-
A.
disadvantage
chosen
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
B.
isDiscretionary
Indicates that the action or decision is optional and left to personal or organizational judgment rather than being mandatory or automatic.
-
C.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
D.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
E.
opposedQualityTo
Indicates that one quality stands in direct opposition or contrast to another quality.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2783b48190a9929dc3e3cd2956 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.