Triple
T521696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly of France |
E10829
|
entity |
| Predicate | currentPresidingOfficerStartYear |
P1653
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [National Assembly of France, currentPresidingOfficerStartYear, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPresidingOfficerStartYear Context triple: [National Assembly of France, currentPresidingOfficerStartYear, 2022]
-
A.
currentSpeakerAssumedOffice
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
B.
chiefJusticeSinceYear
Indicates that an entity has held the position of chief justice starting from a specified year.
-
C.
currentChairStartDate
chosen
Indicates the date on which the person’s current term as chair officially began.
-
D.
hasPresidingOfficer
Indicates that one entity serves as the presiding officer (leader or chair) over another entity, such as an organization, meeting, or body.
-
E.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.