Triple
T12596753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1936 French legislative election |
E300753
|
entity |
| Predicate | mainLosingAlliance |
P20418
|
FINISHED |
| Object | right-wing and center-right 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: right-wing and center-right parties | Statement: [1936 French legislative election, mainLosingAlliance, right-wing and center-right parties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLosingAlliance Context triple: [1936 French legislative election, mainLosingAlliance, right-wing and center-right parties]
-
A.
opposingAlliance
Indicates that two entities belong to rival or mutually opposed alliances or factions.
-
B.
alliancesOfMainOpponent
Indicates that the related entities are allies or supporting partners of the primary opposing party in a given context.
-
C.
mainRivalAlliance
chosen
Indicates that one alliance is considered the primary or most significant rival of another alliance.
-
D.
alliance
Indicates a formal cooperative relationship between entities who agree to support each other in shared goals or interests.
-
E.
aimOfAlliance
Indicates that a specified goal, purpose, or objective is the intended focus or motivation of an alliance between entities.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.