Triple
T35993312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEDA |
E1040907
|
entity |
| Predicate | stanceOnAgrarianReform |
P151815
|
FINISHED |
| Object | opposed extensive agrarian reform |
—
|
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: opposed extensive agrarian reform | Statement: [CEDA, stanceOnAgrarianReform, opposed extensive agrarian reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnAgrarianReform Context triple: [CEDA, stanceOnAgrarianReform, opposed extensive agrarian reform]
-
A.
alignedAgrarianInterestsWith
Indicates that one party has brought its agricultural or rural economic priorities into strategic agreement or harmony with those of another party.
-
B.
attitudeTowardReform
chosen
Indicates an entity’s stance, opinion, or disposition regarding a proposed or ongoing reform.
-
C.
hasLandownershipInfluenceOn
Indicates that one entity’s ownership or control of land affects, shapes, or exerts power over another entity or situation.
-
D.
viewOnAgriculture
Indicates a stance, opinion, or perspective that an entity holds regarding agriculture or agricultural practices.
-
E.
agriculturalImplication
Indicates a relationship where one factor, event, or condition has consequences, effects, or relevance specifically within an agricultural context.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.