Triple
T4304334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince John |
E99917
|
entity |
| Predicate | oppresses |
P20070
|
FINISHED |
| Object | his subjects |
—
|
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: his subjects | Statement: [Prince John, oppresses, his subjects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppresses Context triple: [Prince John, oppresses, his subjects]
-
A.
persecutes
chosen
Indicates that one entity persistently harasses, oppresses, or inflicts suffering on another, often in an unjust or hostile manner.
-
B.
imposes
Indicates that one entity enforces, applies, or places a rule, condition, burden, or obligation upon another entity.
-
C.
inhibits
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
D.
expel
Indicates forcing an entity to leave or be removed from a place, group, or situation, typically as a punishment or consequence.
-
E.
occupies
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b8e1cc819094ce3d6f6c8da767 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:09 p.m.