Triple
T5435737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Opinion |
E122002
|
entity |
| Predicate | fieldInfluence |
P52396
|
FINISHED |
| Object | political science |
—
|
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: political science | Statement: [Public Opinion, fieldInfluence, political science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldInfluence Context triple: [Public Opinion, fieldInfluence, political science]
-
A.
impactOnField
chosen
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
B.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
E.
inspiredField
Indicates that one entity served as a source of inspiration or influence for the development, direction, or characteristics of a particular field or domain.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:06 p.m.