Triple
T26033336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June 1968 French legislative election |
E647488
|
entity |
| Predicate | resultEffectOnLeft |
P168047
|
FINISHED |
| Object | significant losses for left-wing parties |
—
|
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: significant losses for left-wing parties | Statement: [June 1968 French legislative election, resultEffectOnLeft, significant losses for left-wing parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultEffectOnLeft Context triple: [June 1968 French legislative election, resultEffectOnLeft, significant losses for left-wing parties]
-
A.
effectOnOutput
Indicates how one factor, action, or condition influences or changes the resulting output of a process or system.
-
B.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
-
C.
canonicalEffect
Indicates the standard or primary effect that an action, event, or entity is typically understood to produce.
-
D.
sideEffect
Indicates that one entity is an unintended or secondary effect resulting from the use or occurrence of another entity.
-
E.
effectOnUnion
Indicates the impact or influence that something has on a union as a whole.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 22, 2026, 9:06 a.m.