Triple
T27887663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agriculturalism |
E705273
|
entity |
| Predicate | viewOnRulership |
P140592
|
FINISHED |
| Object | ruler should participate in farming |
—
|
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: ruler should participate in farming | Statement: [Agriculturalism, viewOnRulership, ruler should participate in farming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnRulership Context triple: [Agriculturalism, viewOnRulership, ruler should participate in farming]
-
A.
viewOnRuler
chosen
Indicates that one entity holds a particular opinion, stance, or perspective regarding a ruler or governing authority.
-
B.
viewOnKing
Indicates that an entity holds a particular opinion, perspective, or stance regarding a king.
-
C.
viewOnAuthority
Indicates how an entity perceives, evaluates, or relates to authority, including attitudes toward obedience, legitimacy, and power structures.
-
D.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
E.
viewOnRights
Indicates a stance, opinion, or perspective that one entity holds regarding the rights (e.g., legal, moral, or human rights) of another entity or group.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 27, 2026, 6:34 p.m.