Triple
T32071987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French municipal elections |
E819034
|
entity |
| Predicate | previousInterval |
P96058
|
FINISHED |
| Object | 6-year municipal mandate before and after reforms |
—
|
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: 6-year municipal mandate before and after reforms | Statement: [French municipal elections, previousInterval, 6-year municipal mandate before and after reforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousInterval Context triple: [French municipal elections, previousInterval, 6-year municipal mandate before and after reforms]
-
A.
previousPeriod
chosen
Indicates that one time period directly precedes another in a sequence of periods.
-
B.
previousDatum
Indicates that one datum directly precedes another in an ordered sequence or collection.
-
C.
previousRecord
Indicates that one record directly precedes another in an ordered sequence of records.
-
D.
latestInterval
Indicates that the related interval is the most recent or last occurring time span among a set of intervals.
-
E.
previousPostEndDate
Indicates the date on which the immediately preceding post, position, or assignment ended.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: May 1, 2026, 12:23 a.m.