Triple
T35993255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1933 Spanish general election |
E1040906
|
entity |
| Predicate | mainRepublicanParty |
P184926
|
FINISHED |
| Object | Radical Republican Party |
—
|
NE NERFINISHED |
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: Radical Republican Party | Statement: [1933 Spanish general election, mainRepublicanParty, Radical Republican Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRepublicanParty Context triple: [1933 Spanish general election, mainRepublicanParty, Radical Republican Party]
-
A.
republicanParty
Indicates that an entity is affiliated with, belongs to, or is a member/supporter of the Republican Party.
-
B.
otherMajorParty
Indicates that an entity is affiliated with a major political party other than a specified primary or reference party.
-
C.
RooseveltParty
Indicates the political party affiliation associated with Roosevelt.
-
D.
majorParty1
Indicates that the subject entity is the primary or first major party involved in a relationship, agreement, or event.
-
E.
majorParty5
Indicates that an entity is classified as one of the five primary or most significant parties in a given political or organizational context.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:07 p.m.