Triple
T9632757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reverse Polish Notation |
E232845
|
entity |
| Predicate | isAdvantage |
P2188
|
FINISHED |
| Object | reduces need for parentheses |
—
|
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: reduces need for parentheses | Statement: [Reverse Polish Notation, isAdvantage, reduces need for parentheses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdvantage Context triple: [Reverse Polish Notation, isAdvantage, reduces need for parentheses]
-
A.
hasAdvantage
Indicates that one entity possesses a benefit, edge, or favorable position over another in a given context.
-
B.
notableAdvantage
Indicates that one entity possesses a significant benefit, edge, or favorable quality over another entity or in a given context.
-
C.
treatsAsAdvanced
Indicates that one entity regards or handles another entity as if it were advanced in level, status, or complexity.
-
D.
isPro
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
E.
hasBenefit
chosen
Indicates that one entity provides an advantage, improvement, or positive outcome 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_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.