Triple
T35587424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France-Soir |
E1028394
|
entity |
| Predicate | peakDailyCirculation |
P20177
|
FINISHED |
| Object | over 1,000,000 copies |
—
|
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: over 1,000,000 copies | Statement: [France-Soir, peakDailyCirculation, over 1,000,000 copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakDailyCirculation Context triple: [France-Soir, peakDailyCirculation, over 1,000,000 copies]
-
A.
peakNewspaperCount
Indicates the maximum number of newspapers present or in circulation at any one time within a given context or period.
-
B.
circulationPeak
chosen
Indicates the highest level or maximum point reached in the circulation of something (such as money, media, or resources) within a given period or system.
-
C.
circulationRank
Indicates the relative position of an item in an ordered list based on how frequently it circulates or is distributed.
-
D.
circulationEstimate
Indicates the estimated number of copies or instances of something that are distributed or in circulation over a given period.
-
E.
circulationPeakPeriod
Indicates the time period during which circulation (such as distribution or flow) reaches its highest level.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.