Triple
T8397184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | extraordinary sessions of the National Diet |
E198081
|
entity |
| Predicate | sessionTypeContrast |
P82009
|
FINISHED |
| Object | not regularly scheduled like ordinary sessions |
—
|
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: not regularly scheduled like ordinary sessions | Statement: [extraordinary sessions of the National Diet, sessionTypeContrast, not regularly scheduled like ordinary sessions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sessionTypeContrast Context triple: [extraordinary sessions of the National Diet, sessionTypeContrast, not regularly scheduled like ordinary sessions]
-
A.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
B.
registerContrast
Indicates that an entity records or establishes a distinction or difference between two or more items or states.
-
C.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
D.
createsContrastIn
Indicates a relationship where one element is used to highlight or emphasize differences with another element within a given context.
-
E.
achievesContrast
Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
- F. None of above. chosen
Provenance (4 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 6:04 p.m.