Triple
T22239687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Standard |
E549686
|
entity |
| Predicate | comparedToPrimeStandard |
P278
|
FINISHED |
| Object | lower transparency and reporting obligations |
—
|
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: lower transparency and reporting obligations | Statement: [General Standard, comparedToPrimeStandard, lower transparency and reporting obligations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparedToPrimeStandard Context triple: [General Standard, comparedToPrimeStandard, lower transparency and reporting obligations]
-
A.
primaryComparison
Indicates that one entity is being used as the main reference point or standard against which another entity is compared.
-
B.
comparedToPredecessor
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
C.
comparedToOtherFares
Indicates a comparison relationship between one fare and other available fares, typically in terms of price, conditions, or benefits.
-
D.
standardContrastedWith
Indicates a relationship where one standard is explicitly compared or set in opposition to another standard to highlight their differences.
-
E.
isComparedTo
chosen
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.